Big Data Architect Resume Samples

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C Lynch

Camron

Lynch

80143 Ledner Highway

Detroit

+1 (555) 803 1356

80143 Ledner Highway

Detroit

Phone

p +1 (555) 803 1356

Experience Experience

San Francisco, CA

Big Data Architect

San Francisco, CA

Hane, Bartell and Shanahan

San Francisco, CA

Big Data Architect

Design, implement and manage operations framework (Security, Automation, incident management, monitoring and notification) in the context of Hybrid cloud mode
Provide technical mentorship to teams and support management in identifying and implementing competency development measures
Assist development team in identifying the root cause of slow performing jobs / queries (HDFS)
Own the end-to-end development life cycle with high quality of solution/code you develop and evangelize the test driven development approach
Collaborate with Project Managers, Developers and business staff to develop products & services
Working closely with senior technology managers (CTO/CEO, Engineering Managers & Directors) and one or more Scrum teams
Design, test, and continuously improve performance of Hadoop/Spark based solutions

Houston, TX

Lead Big Data Architect

Houston, TX

Schmitt and Sons

Houston, TX

Lead Big Data Architect

Serve as a Manager leading, mentoring, developing, recruiting and retaining high quality resources and subject matter experts on your team
Define data architecture standards and establish best practices for data management
Interact with Technology senior management committees and provide status, risk/issues reporting
Provide technical consultation and education to the business development team and actively support responding to client requests for proposals or SOWs
Underlying infrastructure for Big Data Solutions (Clustered/Distributed Computing, Storage, Data Center Networking)
Define and develop guidelines, standards, and processes to ensure the highest data quality and integrity in the data stores residing on the data lake
Research and suggest new toolsets/methods to improve data ingestion, storage, and data access in the analytics platform

present

Phoenix, AZ

Principal Big Data Architect

Phoenix, AZ

Kunde-Witting

present

Phoenix, AZ

Principal Big Data Architect

present

Research new technologies and approaches for presenting key business insights by analyzing Big Data
Define and lead the realization of the data strategy roadmap for our Collaboration portfolio; including data modeling, implementation and data management
Assess and implement the proper role for machine learning our Big Data solution
Collaborate with customer teams to formulate the problem, recommend a solution approach and design a data architecture
Develop conceptual, logical and physical design for various data types and large volumes
Implement some or all of the Big Data systems in distributed cloud environments
Implement security, encryption best practices for Big Data environments

Education Education

Bachelor’s Degree in Computer Science

The University of Alabama

Bachelor’s Degree in Computer Science

Skills Skills

Familiarity with the media business
Familiarity with networking components, protocols, challenges, and solutions
Understanding of Analytics software, e.g. R, SAS, Matlab
Experience with Teradata and Oracle
Experience with Business Intelligence tools, such as Business Objects, Microstrategies, Tableau
Experience with Pivotal and Hortonworks Hadoop Distributions
To be able to benchmark systems, analyze system bottlenecks and propose solutions to eliminate them
To be able to clearly articulate pros and cons of various technologies and platforms
To be able to document use cases, solutions and recommendations
To have excellent written and verbal communication skills

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15 Big Data Architect resume templates

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Big Data Architect Resume Examples & Samples

Provide architectural guidance and platform selection advice for common Big Data (Hadoop) platforms
Design data flow and processing pipelines for ingestion and analysis using Sqoop, Flume, Hive and Pig
Design data structures with HCatalog and Hive
Provide data management expertise to our clients in evaluating requirements and developing data architecture and Big Data solution design. Data management includes appropriate structuring, stewardship of data, semantics/syntax of data attributes, coding structures, and mapping schemes
Guide and coach developers, share best practices, perform code reviews
Coordinate activities with data source application owners to ensure integration with data warehouse and and source systems
Ensure that data integrity issues are addressed
Liaise and attend meetings necessary to perform duties and aid business and technical development
The ideal candidate will have 5 + years of hands-on professional experience and two with Hadoop
Excellent organizational, verbal and written communication skills
Travel requirements: up to 50 %
3+ years of prior consulting experience
Very strong technical knowledge in Hadoop (HDFS, Hive, Pig, Sqoop, Map Reduce, cluster tuning)
Experience with Microsoft BI tools a strong plus
Has good knowledge of standard methodologies, concepts, best practices, and procedures within a Big Data environment
A certain degree of creativity and latitude is required as well as flexibility in job role and working hours during critical deliveries

Big Data Architect Resume Examples & Samples

Works collaboratively with the Product Management, BusinessLeaders and others to define a strategicroadmap for the Gap Inc Big Data platform
Establishes & governs an architectural roadmap &technology standard for Big Data platform development
Keeps in mind that the Technology Solution must be aBusiness Value approach
Provides guidance for Big Data requirements across all ofour technology platforms
Works collaboratively with software engineering teams asthey implement & deliver on the Big Data strategy
Is influential and engages actively in building out adynamic and productive development organization and continuously improvingpractices and methodology
Displays strategic thinking and can come up with sustainablesolutions that span across projects and platforms keeping an eye towardssimplicity, reliability, manageability, scalability, extensibility, performanceand re-use
Provides technical expertise in the areas of architecture,design, testing, and implementation
Is actively involved with and may influence direction ofindustry groups and open source communities
Identifies standards based solutions that areappropriate to our environment and drives adoption via mentoring and guidingothers who are still developing their skills
Initiates and leads effort towardsorganizational goals and objectives
A minimum of 10 years software development experience, 7years of which are specific to Big Data technologies. Relevant experience withthe Data Layer and Data Object Modeling on the application side
Extensive experience and expertise with relevant Big Data technologieslike Hadoop, Hive Pig, etc
Has an understanding of Data Science – know what itprovides
Expertise in designing and delivering service-basedarchitectures with performance, security, and accessibility in mind
Self-motivated team player who excels in a collaborativeenvironment
Hands on experience with Agile development practices &Agile, XP, or Scrum project methodologies
Strong sense of personal accountability; contributes beyondjob role and responsibilities
Excellent problem solving skills; meticulous &methodical
Ability to learn and apply new technologies quickly andself-directed
Proven ability to translate complex business requirementsinto simple software solutions
Passionate about continuously improving organizationalpractices
Thorough understanding of Object Oriented principles(Analysis and Design)
Full lifecycle development experience on large projects,creating distributed and scalable business systems
Mentor and guide others who are still developing theirskills

Big Data Architect Resume Examples & Samples

Architecture and design of big data infrastructure to support analytical and management applications, including data transport, lineage, security, management, analysis, reporting, and life-cycle management
Lead and teach the next generation of data architects and administrators
Initiate, develop, and lead new technology demonstrations and solution proofs of concept
Help design and architect the process and technology infrastructure to support production, development, test, and experimental platforms
Provide technical input to the IT strategic roadmap
Understanding of Analytics software, e.g. R, SAS, Matlab
Experience with Pivotal and Hortonworks Hadoop Distributions

Big Data Architect Resume Examples & Samples

Lead design of our data warehouse analytics cloud infrastructure, amalgamating data from multiple and disparate sources, and working with the development team on implementation. Contribute in building an internal traffic tracking and analytics system for both real-time and comprehensive historical analysis with a self service visualization layer
Work closely with our data science team to provide analysis tools, reporting capabilities and ad-hoc reports
Provide guidance and support for projects that require other ETL processes
10-15 years in software development
5 years working in the Data mining/warehousing field
Degree in a computer science, statistics, applied mathematics, or related field
Strong knowledge of information retrieval principles and processing techniques
Strong knowledge of MPP architecture and systems
In depth, hands-on knowledge of HDFS, Hadoop, PIG, Hive, Spark SQL
In depth, hands-on knowledge of NoSQL and BigTable technologies such as HBase, Aerospike, Couchbase and Cassandra
Strong data visualization principles and implementation experience experience using visualization tools like Tableau, Qlikview, or Spotfire
Familiarity with data mining and machine learning fundamentals
Experience deploying big data solutions in public cloud such as AWS
Knowledge of open source big data frameworks
Knowledge of big data CI/CD and DevOps tools and processes
Strong programming skills in Java and Python, proficient in Scala, C, C++
Strong knowledge of performance optimization and tuning of big data technologies, particularly Hadoop/PIG/Hive/Spark SQL

Enterprise Hub Build Big Data Architect Resume Examples & Samples

Senior professional band employee that that will provide technical design, build, and administrative leadership of the next generation Hadoop Big Data platform being developed for the GECC enterprise data foundation
Responsible for administration activities across the Hadoop cluster environment including configuration management, monitoring, debugging, and performance optimization
Provide technical leadership for ETL developers across the enterprise data environment. Essential Responsibilities: "
Provide infrastructure technology guidance on the implementation of a Hadoop platform. Plan and estimate cluster infrastructure expansion options and help recommend deployment approach
Install, configure, and monitor system services including HDFS, Yarn, HBase, Flume, Sqoop, Oozie, Pig, Hive, etc
Work with architecture team to develop wing to wing Hadoop data processing approach from data acquisition to end user provisioning to meet key business objectives
Lead the design, development, testing, and deployment of processing applications
Provide leadership for geographically diverse big data ETL developers
Assist with vendor analysis and proof-of-concepts for new Hadoop technologies/solutions

Enterprise Infrastructure Big Data Architect Resume Examples & Samples

Cyber Security & Data Privacy
End User Technology
Infrastructure Solutions Management
Implementation Management
Oversee architecture governance across all architecture domains within the Infrastructure organization and aligned to the design governance in the Application Development organization
Ten plus (10+) years of combined experience as an Database Architect, with at least three (3) years hands on experience managing Big Data such as, Hadoop, NoSQL and MongoDB
Ten plus (10+) years of strong IT consulting experience in data warehousing, operational data stores and large scale implementations
1 - 2 years experience in Big Data architecture (Hadoop core: Map Reduce, HDFS, HIVE, HBASE, PIG)
Experience architecting highly scalable, highly concurrent and low latency systems and adapting cutting edge technologies to enterprise requirements including high availability and disaster recovery
Strong background in Data Science fundamentals
Experience with building large-scale distributed enterprise systems
Must be able to interface effectively with all levels of the organization

Big Data Architect Resume Examples & Samples

To be able to benchmark systems, analyze system bottlenecks and propose solutions to eliminate them
To be able to document use cases, solutions and recommendations
To be able to work creatively and analytically in a problem-solving environment
Experience with a range of big data architectures including OpenStack, Hadoop, Pig, Hive, or other big data frameworks
Big data frameworks

Big Data Architect Resume Examples & Samples

Are you excited about architecting solutions for managing petabyte scale datasets? Does streaming analytics at the scale of tens of billions of events/day resonate with your passion?
We need your innovative ideas to action in managing large-scale real-time log/event data and extracting valuable operational insights on a global scale cloud platform
Work with technology partners and internal stakeholders in developing POCs and drive to closure with creative solutions in a fast paced agile environment
Besides being passionate and sought after hands-on technology expert in Big Data/NoSQL, you play a key role in CCS success by calibrating and communicating effectively at various levels, translate customer needs and synthesize high-level design/solutions, guide agile iteration sequencing, partner with engineering/ops, and influence the overall outcome
MSCS (or equivalent) with 10-15 years of increasing responsibility and engineering experience in several of the following disciplines: infrastructure monitoring, distributed systems management, data modeling, OSS, cloud computing, and big data
Last five years of hands on experience in developing and architecting solutions in least two areas required: streaming analytics platforms, large scale log/event data management, operational experience of NoSQL databases, and batch analytics using Hadoop ecosystem
Technology experience with several of the following required: Storm/Kafka, Spark, Cassandra, HBase, Hive, Oozie, ElasticSearch, Solr
Prior experience with infrastructure monitoring tools, distributed log aggregation systems, and application performance monitoring is a plus (Nagios, Zabbix, Zenoss, Ganglia, Logstash, Splunk, New Relic, App Dynamics)
Prior experience with MySQL and orchestration tools is a plus

Big Data Architect Resume Examples & Samples

The candidate will be responsible for managing the full life-cycle of the Big Data solution
This includes creating the requirements analysis, the platform selection, design of the technical architecture, design of the application design and development, testing, and deployment of the proposed solution
He or she should have experience in designing solutions for high-scale distributed data applications and knowledge on NoSQL platforms
Candidate should understand and the data security and privacy concerns that could arise and that should be taken care of as part of the system design/architecture
Benchmark systems, analyze system bottlenecks and propose solutions to eliminate them
Clearly articulate pros and cons of various technologies and platforms
Be able to perform detailed analysis of business problems and technical environments and use this in designing the solution
Be able to work in a fast-paced agile development environment and drive innovation of system designs and solutions
College degree (preferably in Computer Science or Engineering – Masters or higher) and at least 10 years of related experience
2+ years’ experience with Enterprise Big Data Architecture/design
Experience with Hadoop, Big Data technologies
Knowledge and experience with software engineering processes and best practices

Senior Big Data Architect Resume Examples & Samples

3 years of OOD experience working on backend systems
You have experience architecting highly scalable, highly concurrent and low latency systems
You have experience with Big Data and NoSQL technologies like Hadoop, HBase, Cassandra,
You are interested in Data Science and learning how to make sense of massive amounts of

Big Data Architect Resume Examples & Samples

BS in Computer Science/Computer Engineering or comparable experience
7+ years of experience in development/design software with object-oriented languages such as Java, C/C++, as well as shell scripting, web services and relational databases
Experience with Big Data and NoSQL technologies like Hadoop, HBase, Spark, Impala, Cassandra, Storm, Flume, Pig, and Hive
Key requirement of this role is to be hands-on in Hadoop Map Reduce, HIVE, HBASE and be able to architect solutions to process Terabytes of daily data
Experience with building large-scale distributed enterprise or hosted systems
Excellent problem solving and multi-tasking skills, with a creative and flexible attitude

Big Data Architect Resume Examples & Samples

Excellent understanding and implementation experience of Hadoop Architecture
Data Storage: HBase, SOLR
Data Processing: Spark
Data Analysis: Hive, Pig, and Impala
Data Exploration: Cloudera Search
Graph data base (ie, Neo4j)

Associate Director Big Data Architect Resume Examples & Samples

Design and develop a comprehensive Management Information System, integrating internal and external metrics such as revenue, risk, capital, balance sheet, market history, and market events
Model, optimize, and scale the data
Store all relevant detail and history while maintaining high read performance for analysis and reporting
Work with Global Banking and Markets sales, trading and corporate bankers to verify data and metrics, ensuring that the most significant information is readily available
5+ years of database architecture and implementation
Experience with structured data in Hadoop
Experience with custom ETL or integration tools (Talend, Informatica)
Ability to write efficient SQL
Experience with R, RHadoop, Rserve an asset
High performance, pragmatic, detail-oriented person
Ability to work independently as well as in a team, while fostering consensus in a complex, demanding and fast-paced environment

Big Data Architect Resume Examples & Samples

Lead innovation by exploring, investigating, recommending, benchmarking and implementing data centric technologies for the platform
Be a proactive and technical architect point person for the data platform end to end
Capable of designing Architectural processes and procedures
Able to interface with Vendors, Manage POCs and RFPs
5+ years of professional experience with an established track record as an architect
Demonstrated experience as a full stack architect, with the ability to run conference calls, document and execute an architecture vision, and troubleshoot / install applications
Deep knowledge of component systems architecture including but not limited to distributed systems architecture and multiple programming languages supporting such architecture
Knowledge of various Big Data components, vendors and technologies including Hadoop required; Greenplum, Tableau, Gemfire, low latency solutions (networking / disk / etc) experience is preferred
College degree required or equivalent work experience

Lead Big Data Architect Resume Examples & Samples

A broad set of technical skills and knowledge across hardware, software, systems and solutions development and a across more than one technical domain
Ability to develop technical relationships with end-users, ISVs, OEMs and Visa stakeholders (Architects, System Engineers, Product Developers, Network Engineers, Operations Engineers, Security Engineers)
Bachelors or Masters in Computer Science or related degree from an accredited university
Hadoop and other Industry BigData Frameworks
Deployment of a large distributed Big Data Application
Strong experience with the ITIL framework, particularly Incident, Change, and Problem Management
Expertise in Relational database (e.g. Oracle, DB2, MS SQL, MySQL)
Expertise in NoSQL/NewSQL database (e.g. MongoDB, CouchBase, HBase)
Experience with Fraud Management, Payment and/or Credit Card processing is a plus

Big Data Architect Resume Examples & Samples

Develop a data architecture that truly unlocks business value and potential
Data governance within the company
Development of the Data Warehouse
Process automation wherever possible
Collaborative approach across the BI teams
5 to 10 year + core database / data Warehouse experience
Ability to understand Big Data within a vast organisation
5 years experience at an Data Architect
Hands on experience with Hadoop highly desirable
Strong influencing skills and experience
Ideally Telecommunications experience
Extensive experience with SQL Server, MySQL, MariaDB, IBM Infosphere, Cognos Express, TM1 and other industry BI tools

Lead Big Data Architect Resume Examples & Samples

Design, architect and build a data platform over Big Data Technologies
Own and establish Reference Architecture for Big Data
Be the proactive and technical architect point person for the data platform end to end
Lead by example coaching and mentoring those of your peers and mentoring less experienced team members. Operate as part of the extended management team
Capable of supply and driving the firm’s central technology organizations with requirements and direction
Demonstrated experience as a full stack architect, with the ability to lead and run conference calls, document and execute an architecture vision, and to get on command prompt and troubleshoot / install
Knowledge of various Big Data components, vendors and technologies including, Hadoop, Greenplum, Tableau, Gemfire, and low latency solutions (networking / disk / etc)

Big Data Architect / Information Management Resume Examples & Samples

Designing and delivering analytics and BI solutions on cloud technologies such as AWS or Azure
Providing guidance around migrating data from traditional DW to Hadoop environments
Designing and implementing cloud based solutions
Building rapid proto-types for presentations / sales proposals
Preparing proposals and pre-sales presentations for clients around analytics and cloud solutions
Information Management, Business Intelligence, Data Warehousing and Big Data project experience
Providing experience around areas such as IM / BI Architecture, Project Management, Solution Design, Data Migration, Transformation projects
Writing and contributing to proposals
Previous experience in Business Intelligence, Data warehousing, Big Data and Advanced Analytics projects is a highly essential

Big Data Architect Resume Examples & Samples

Architect and lead the Development of a highly scalable Next Generation Data Platform
Lead, manage, and mentor the WB Data Engineering Team in Big Data technologies
Work with other teams to ensure Delivery targets are met
Designing and implementing complex scalable statistical models such as but not limited to Recommendation and Classification models
Designing and implementing solutions that meet with security compliance guidelines

Big Data Architect Resume Examples & Samples

Responsible for working with customers and sales teams to define and design Use Cases and key actionable insights for our customers according to specific business situations
Responsible for articulating the unique business and technical proposition of Ericsson solution to the customer
Responsible for designing and architecting the next generation solutions on Big Data and Analytics platforms through collaborative client discussions
Responsible for conceptualizing the technical solution, creating a Big Data Architecture and connecting Business requirements to technical solutions
Responsible for translating high-level design requirements to low level design and leading a talented team of data scientist and developers to deliver high quality work products
Understanding of the interaction points between Big Data and traditional DWH system and contribute towards the development of the unified architecture
Deep Understanding and experience of real time analytics tools like Storm/Kafka/ Streams etc
Understanding of Advanced Analytics tools like R/SAS/SPSS and their leverage in Big data Analytics solution
Should be able to articulate issues and solutions clearly and be a very good communicator with excellent Oral/written, presentation and articulation skills
Knowledge of Telecom Data and Network/Customer Analytics Use Cases is a must and experience of having worked with network operators is a big advantage
The role requires an overall experience of 12-15 years of experience
Bachelor of Engineering/Bachelor of Technology/Masters of Technology in Computer Science or related from IITs or Reputed NITs
Experience of 60+months in Customer Solutions and Client facing solution roles
Demostrated technical consulting experience in defining new solutions with customers
At least 18-36 months of experience of leading distributed, high performance system development in Hadoop and Real Time Analytics
Conceptual Knowledge of visualization tools like Tableau , Spotfire would be an advantage
Clear understanding of all Big Data technologies and ability to fit them in customer’s problem context
Strong understanding and experience on NOSQL databases and BI/EDW techlogies
Experience of Telco Customer/Network analytics projects
Great Customer communication skills and a
Flair for technical consulting – ability to link technology to business and explain in lucid language
Ability to quickly learn new concepts/technologies with minimal handholding
Good collaboration and communication skills
Excellent technical skills combined with interpersonal skills
Strong sense of team work, ownership, and accountability
Takes initiatives and self motivated
LI-RK1

Big Data Architect Resume Examples & Samples

Responsible for designing and delivering next generation solutions on Big Data and Analytics platforms on tight deadlines and stringent specifications
Responsible for conceptualizing the technical solution, creating a Big Data Architecture and producing high-quality, optimized/high-performance and reusable code
Responsible for translating high-level design requirements to low level design and produce efficient codebase using Hadoop tools – Hive, Pig, Hbase, Ozzie, Sqoop etc
Understanding of the interaction points between Big Data and traditional DWH system and contribute towards the development of the unified architecture with Architects and Data Scientist
Understanding of real time analytics tools like Storm/Kafka/ Streams etc and integration of Hadoop with Advanced Analytics tools like R/SAS/SPSS
Knowledge of Telecom Data and Network/Customer Analytics Use Cases will be an added advantage
The role requires an overall experience of 5-15 years of experience
At least 18-36 months of experience in hands-on developing distributed, high performance systems in Hadoop and Real Time Analytics
At least 48+ months on hands on experience with in more than one programming language ( Python / Scala/ Java/SQL)
At least 48+ months of hands on experience in Object-oriented programming paradigm
Knowledge of visualization tools like Tableau , Spotfire would be an advantage
Experience of 12+ months of in performance tuning techniques & optimization is highly desirable and a clear understanding of Map reduce is essential for this role
Strong understanding and experience on NOSQL databases like Cassandra and
High level and conceptual understanding of MPP like Netezza/Teradata
Strong HANDS-ON Expertise on atleast one implementation of hadoop - Cloudera/Hortonworks/MapR
Excellent problem solving skills and ability to shape an undefined problem statement

Big Data Architect Resume Examples & Samples

Strong software engineering/development background (in Java or C#)
Experience of leading small engineering teams
XML processing, customised ETL solutions)
Experience developing, interfacing or designing data centric applications
Middleware integration applications, either commercial (i.e. Mulesoft) or GitHub, Stash, Build tools Puppet, Jenkins, etc, continuous integration, test driven development Programming in Python/Javascript (Node.js) would be advantageous
Experience of: Pivotal (PHD, Hawq, Greenplum, SpringXD) Hortonworks (preferably certified)
Cloudera (preferably certified) MongoDB Neo4J Pentaho Talend
Data Visualisation skills
Unix/ Linux experience
BSc/MSc/Phd in Engineering/CS, Sciences or Mathematics

Experienced Big Data Architect Resume Examples & Samples

In-depth knowledge of the technology and vendor landscape for Big Data - including the Hadoop Ecosystem, NoSQL approaches and Cloud Data Management
Multiple years of experience as an architect in the data warehousing and BI space (incl. SQL / Data Modelling, Data Integration, Data Governance)
Multiple years of hands-on experience with production-scale Hadoop architectures (incl. YARN, MapReduce, Pig, Hive, Oozie)
Experience in estimating, planning and managing Big Data implementation projects

Senior Big Data Architect Resume Examples & Samples

Act as the proactive and technical architect point person for the consumer data platform end to end (ingestion through activation of data)
Lead the transformation of existing data and analytic infrastructure to a highly scalable, flexible, and performant big data platform using appropriate SQL, NoSQL, and NewSQL technologies
Optimize and automate data ingestion, data processing and distribution data from variety of sources, including click stream data, ratings data, advertising data, 3rd party sources and sources not yet identified
Help us stay ahead of the curve by working closely with data management team, data engineers, our DevOps team, and analysts to design systems which can scale overnight in ways which make other groups jealous
First-hand experience – Have a minimum of 5 years of professional experience focusing on building data movement and integration pipelines (especially ETL/ELT) in a large-scale data environment leverarging the latest open source and Java technologies
Problem solver – Enjoy new and meaningful technology or business challenges which require you to think and respond quickly
Experience with AWS, linode, Azure, Heroku, or OpenStack
Bachelor’s degree or better in Computer Science or a related technical field or equivalent job experience

Big Data Architect, k-k Resume Examples & Samples

Proven architecture experience in a delivery sense - you will be able to talk the TOGAF language
Experience of leadership and leading people
Experience of engineering solutions to cope with Big (volume) and Fast (real/near real time) requirements
Experience of middleware integration applications, either commercial (i.e. Mulesoft) or Open Source
Experience of DevOps type operations - use of source control (GitHub, Stash), Build tools (Puppet, Jenkins, etc), continuous integration, test driven development
Any Experience designing solutions with these technologies

Big Data Architect Resume Examples & Samples

10-15 years of working experience in traditional solutions
Must be able to clearly articulate pros and cons of various technologies and platforms
Must be able to document use cases, solutions and recommendations
Must be able to explain the work in plain language
Must be able to help program and project managers in the design, planning and governance of implementing projects of any kind

Big Data Architect Resume Examples & Samples

Transition traditional ETL/Data Warehousing solutions to solutions that leverage Big Data technologies, building and architecting the next-generation Big Data analytics framework leveraging transformational technologies
Create strategies that use business intelligence and data platforms, translating complex functional and technical requirements into detailed architecture, design, and high performing software
Performs technology and product research to identify opportunities that impact business strategy, business requirements and performance
Leads in creating, refining, managing and enforcing data management policies, procedures, conventions and standards
Apply best practices for software development and documentation, assure designs meet requirements, and deliver high-quality work on tight schedules

Big Data Architect Resume Examples & Samples

Project Management to coordinate solutions from a technical perspective and minimize technical risk
Defining analytics architectures (patterns, methods, blueprints, etc.)
Defining technical and data architectures for data warehouses, reporting marts and forensics solutions
Evaluating and recommending specific analytics and forensics technologies
Demonstrated proficiency in descriptive, predictive and prescriptive analytics
Experience and demonstrated skills with the Microsoft Analytics stack including
Excel
Familiar with Enterprise Architecture principles and frameworks (TOGAF, Zachman, Gartner, DOD, etc.)
Software prototyping experience
Microsoft Certified Solutions Expert: Data Platform / Business Intelligence
Certified Forensic Computer Examiner (CFCE)

Big Data Architect Resume Examples & Samples

Contributes to the overall system implementation strategy for the enterprise and participates in appropriate forums, meetings, presentations etc. to meet goals
Helps engineering teams with prototyping solutions
Good knowledge of Algorithms, Data structures
Good knowledge of distributed computing, CAP theorem
Must have Hadoop experience
Spark experience is a bonus
Must have strong Java or Scala experience
Must have NoSQL experience (atleast one of HBase, Cassandra, Riak etc)
Must have experience with Hive/Pig
Must have experience of streaming technologies like Kafka, RabbitMQ
Storm experience is a bonus
Good knowledge of software engineering and architecture
Analytical and problem solving skills, applied to Big Data domain
Excellent design and architecture skills thinking of large scale computing
Ability to analyze data and work independently

Experienced Big Data Architect Resume Examples & Samples

At least 5 years experience in / with Big Data projects using Hadoop, Map Reduce or NoSql technologies
At least 5 years experience in across systems integration, information management business analytics and architecture
At least 5 years experience in data warehouse environment and knowledge of existing and emerging data integration approaches
At least 5 years experience in solution architecture in traditional information management
At least 3 years experience in / with integration of Big Data to a traditional data architecture
At least 3 years experience in data architecture of designing and developing logical data models
At least 3 years experience in design with programming on high-scale or distributed systems (such as Hadoop)
At least 3 years experience in / with high performance distributed parallel file system storage technology such as GPFS, GFS, CloudStore, HDFS or similar
German : intermediate

Analytics Big Data Architect Resume Examples & Samples

Be knowledgeable about the customers business model, technical Infrastructure, challenges and industry and help the client build their Information Agenda
Demonstrated experience in one or more vertical Industries (Banking/Financial, HealthCare, Telco, Aerospace, Automotive, Consumer Packaged Goods, Travel, Entertainment, Retail, Public/Federal, etc)
Ability to lead IM architecture at a customer CIO level in the field, accountable for
Bachelor's Degree in Computer Science/Business or equivalent, Master preferred
Demonstrate vertical industry knowledge (Banking/Financial, Insurance, HealthCare, Telco/Comms, Industrial/Distribution, Retail, Life Sciences, Aerospace, Automotive, Consumer Packaged Goods, Travel, Entertainment, Public/Govt/Federal
Minimum of 15 years of Enterprise Technical Experience, preferably in large-scale Enterprise Application software and analytic solutions
Experience and proficiency in analyzing integration requirements and documenting proposed solutions
High energy level, professionalism, strong presentation skills and superior communication skills
Strong leadership skills, a consistent record of delivering projects on time, a quickness to learn and adapt to changes
Demonstrated understanding of best practices and methodologies as described above
Demonstrated experience in real world design and deployment of working solutions
Must be able to fulfill travel requirements of the position
Fluency in Asia-Pacific languages is required. English and Mandarin are desired

Big Data Architect Resume Examples & Samples

Be accountable for creating end-to-end solution design and development approach in a Hadoop/Spark environment
Be accountable for integration solution design and development for integration Hadoop/Spark environments with analytic platforms (e.g., SAS, SPSS) and Enterprise Information Management (EIM) and Data Warehouse (DW) platforms
Design, test, and continuously improve performance of Hadoop/Spark based solutions
Expertly utilize distributed/parallel processing for information management solution design and development
Perform hands on development, coaching and leadership through all project phases
Provide advisory help in selecting products and components as part of sales solutioning
Create new methods for Big Data and lead teams that are developing accelerators
At least 2 years of experience in the Hadoop platform (such as Cloudera, Hortonworks, MapR, and/or IBM BigInsights)
At least 5 years of experience in data architecture
At least 1 year of experience in the distributed cluster environment
At least 2 years of experience in use of open source tools such as: Java technology (Hadoop, Sqoop, Hive, Storm, YARN, etc. - i.e., Hadoop 2.0), Python and/or BASH/CSH scripting
At least 2 years of experience in designing large data warehouses with working knowledge of design techniques such as star schema and snowflake
At least 2 years of experience in various information modeling techniques
At least 2 years of experience in a consulting environment
At least 2 years of experience in the following components of the Hadoop ecosystem: Hive, HBase, Spark, Storm, YARN, Flume, and/or Oozie
At least 5 years of experience in the Hadoop platform (such as Cloudera, Hortonworks, MapR, and/or IBM BigInsights)
At least 7 years of experience in data architecture
At least 3 years of experience in the distributed cluster environment
At least 5 years of experience in use of open source tools such as: Java technology (Hadoop, Sqoop, Hive, Storm, YARN, etc. - i.e., Hadoop 2.0), Python and/or BASH/CSH scripting
At least 5 years of experience in designing large data warehouses with working knowledge of design techniques such as star schema and snowflake
At least 5 years of experience in various information modeling techniques
At least 5 years of experience in a consulting environment
At least 2 years of experience in hands on ETL script development and batch processing
At least 5 years of experience in the following components of the Hadoop ecosystem: Hive, HBase, Spark, Storm, YARN, Flume, and/or Oozie

Senior.big Data Architect Resume Examples & Samples

Build data integration frameworks and automate integrate various data sources into Hadoop
Develop validation frameworks, proactive monitoring solutions to detect data ingestion failures in big data platform and take appropriate remedies
Team player, collaborate with people working on traditional Data Warehouse technologies and ensure consistency for the data exposed through these different channels
Responsible for end-to-end development life cycle with high quality of solution/code you develop and evangelize the test driven development approach
Follow a customer centric approach and ensure the solutions developed meet the customer requirements
BA/BS in Computer Science or related field. Masters preferred
5+ years of experience with progressively increasing responsibilities in the areas of software analysis, design, development and architecture
Deep understanding and experience with Big Data and the Hadoop stack – AWS EMR, MapReduce and HDFS as well as analytical tools such as Pig, Hive and R
Strong knowledge and experience with NoSQL databases (DynamoDB preferred), Experience and the ability to lead development activities using Agile Scrum methodologies
API and REST based web services development a plus
Proficient across all phases of data modeling, from conceptualization to database optimization
Strong SQL & PL/SQL skills

Principal Big Data Architect Resume Examples & Samples

Oversee the design and architecture of Big Data applications
Design and develop components identified in our platform product [DAP]
Research new technologies and approaches for presenting key business insights by analyzing Big Data
Proactively drive new approaches and techniques for the Big Data platform as well as propose improvements in software development practices, software quality, and software efficiencies
Ability to test and prove concepts through rapid prototyping

Lead Big Data Architect Resume Examples & Samples

Lead meetings with clients and key stakeholders to gather requirements, analyze, finalize and have formal sign-offs from approvers
Lead the Asia Data Modelers, Data Investigators and technology teams related to GFTS Data Management in the functional analysis, design and project planning
Lead the Asia GFTS Data Management teams in the project execution, resolve any issues and risks that may arise during the course of the project
Respond promptly to trouble tickets opened by testers and production users who report defects in the data. Pinpoint the root cause and assign the tickets to the appropriate development teams

Senior Big Data Architect Resume Examples & Samples

Interacts with clients while designing internal and external data interfaces to ensure that database development needs are according to client specifications; coordinates with clients, external data providers, and business team to ensure that business model is accurately represented and understood by all relevant parties
Analyzes changes in online transactional processing, business processes, and external information sources and recommends modifications, to improve quality of applications and meet additional requirements
Evaluates reusability of current data for additional analysis, while maintaining integrity and confidentiality of information; conducts data cleaning to rid the system of old, unused, or duplicate data for better management or quicker access
Develops data warehousing blueprints, evaluates hardware and software platforms, and integrates systems to ensure that integration is effective and meets client specifications
Excellent skills and knowledge with various "Request for Information / Request for Proposal" (RFI/RFP) processes
3+ years of related work experience in Big Data Architecture
2+ years of experience with related/complementary open source software platforms and languages (e.g. Java, Unix, Linux, Apache, R/Python/Scala)
Implementation of ETL applications
Implementation of reporting applications
Use specialized tool and technique to develop service/message model and enhance existing service/message model. Experience in SOA, designing and implementing solutions using REST API, WSDL and SOAP
Spark certification is an asset
Comfortable with exploring emerging tools and technologies in Big Data, Advanced Analytics, Machine Learning and NoSQL area
Knowledge of The Following Areas Would Be an Asset

Big Data Architect Resume Examples & Samples

Build world class high-volume real-time data ingestion frameworks and automate ingesting various data sources into Hadoop
Research, develop, optimize and innovate frameworks and related components for enterprise scale data analysis and computations
Develop Data Adapters to ingest large volume of Unstructured, Semi-Structured and Structured data from various data sources and types
Collaborate with people working on traditional Data Warehouse technologies and ensure consistency for the data exposed through these different channels
Own the end-to-end development life cycle with high quality of solution/code you develop and evangelize the test driven development approach

Big Data Architect Resume Examples & Samples

1 Good communication skills and team work , be innovative, be willing to take challenges
2 Master computer languages(Python or Java, etc.), be familiar with data structure and algorithm analysis
3 Be familiar with Hive/Impala advanced features, can optimize Hive scripts and abstract Hive model based on analysis requirement independently
4 Be familiar with Hadoop-hdfs architecture and Hadoop-mr process
5 Master Spark/Kafka/Flume/Hbase/Zookeeper
6 Be familiar with NOSQL databases including Redis/MongoDB/HBase
1 Over 5 years related working experiences
2 Good sense of art and creative ability, and excellent comprehension/analysis capability of UI requirements
3 Be sensitive to UI design, have insights on the trends of vision design/interaction design/Frond-end engineering
4 Excellent interaction prototype design competency, and mater related design tools
5 Be familiar with web frond-end technology with related design experience
1 Be responsible for solution UI and interactive design for projects
2 Make UI and interaction specifications and related processes
3 Promote UI design best practices and improve design standards based on market trends

Principal Big Data Architect Resume Examples & Samples

Provides technical direction for diverse and complex initiatives and is accountable for a variety of tasks to architect and deliver solutions that exceed customer expectations in content, usability, accuracy, reliability and performance while assuming a leading role within agile teams (both on-shore and off-shore)
Interprets business strategy and develops organizational objectives to align with this strategy. Typically influences multiple teams of professionals
Works across technical and business team in order to harmonization data asset
Has experience building highly available, high volume, fault tolerant transaction processing engines that span multiple locations
Experience using caching technology for real time data enrichment/transformation
Candidate might have worked in one or more roles (e.g. System Architect, Data architect, Application Architect, Solution Architect)
Knowledge in big data methodologies and best practices required
Ability to initiate and follow through on complex projects of both short and long term duration required
Performs other related duties and tasks as assigned
Advanced Degree in technical discipline and/or equivalent technical experience (e.g. 10+ years of architecture experience with data integration and data warehousing; 3+ years of big data platform architecture)
Experience working with large datasets (petabytes)
Experience architecting and maintaining highly available applications
3 to 5 years' experience with Hadoop architectures
Experience working as solution architect supporting Platform as a Service
Experience with continuous integration, test-driven/behavior-driven development, and agile, scrum development methodologies
Experience collaborating and partnering with technical and business teams to present and define strategies, requirements, road-maps, budgets, and solutions
Experience influencing teams of senior technologists
Experience with managed services and on-shore / off-shore development
Knowledge of Cable set top box event processing
Knowledge of high-performance transaction system architectures
Hadoop Certified

Big Data Architect, Shanghai, INT, Corp Resume Examples & Samples

Developing architecture and design patterns to process and store high volume data sets
Design and build scalable infrastructure and platform for very large amounts of data ingestion, aggregation, integration and advanced analytics in Hadoop, including Machine Learning, MapReduce, Pig/Hive, Spark, Storm, Hbase and other NoSQL databases
Researching and deploying new tools, frameworks and patterns to build a sustainable big data platform
Translate complex functional and technical requirements into detailed design
Perform analysis of vast data stores and uncover insights
Maintain security and data privacy
Hands-on technical leadership and support for customer issues and incidents regarding the analytics platforms through to resolution
Triage, deep dive and troubleshoot complex issues in the analytics applications
Identify opportunities to leverage and train 1st line support to prevent escalations in the future
Develop, manage and follow operational policies and procedures including documentation and training

Development Manager / Big Data Architect Resume Examples & Samples

Lead a team responsible for technical vision, architecture, design and development of platform components of the next generation bureau platform
Manage, coach and allocate team resources, ensuring quality achievement of strategic information technology goals in a cost-efficient and timely manner while ensuring a healthy, productive and positive team environment
Ensure project timelines are met, development effort remains on target, and deliverables meet project expectations within budgetary constraints and according to corporate quality standards
Identify, recruit, develop, and retain a high performance team of professionals
Participate in collaborative software and system design and development of the new platform
Explore and evaluate new ideas and technologies
Ensure conceptual and architectural integrity of the platform
Work on large-scale, multi-tier big data engagements
Play active role in Communities of Practice
Be a mentor and role model to less experienced developers
Experience in working with un-structured or semi-structured data
Understanding of Entity Resolution and Record Linkage
Experience with Hadoop Ecosystem like Oozie, Hive, Avro, Parquet etc
Interpersonal skills: Demonstrable leadership experience, facilitation, situational awareness, & conflict resolution
Ability to work in a dynamic and flexible environment with the ability to influence
Have experience with JIRA, or other similar PM tools

Big Data Architect Resume Examples & Samples

At least 8 years of experience with design, development, automation, and support of applications to extract, transform, and load data
Ability to scope development projects and estimate technical work effort, dependencies, and risks
Ability to bridges gaps across business areas, operational business units, infrastructure team, and development teams
Strong analytical and problem solving skills, applied to Big Data domain
Experience with implementation of ETL using Talend, Informatica Big Data Edition, IBM Data Stage
Experience in programming/scripting languages like Python, Scala, Java and/or R
Data Integration Architecture and solution design
Extensive Experience in Data Modeling, Data Integration, Reporting & Analytics, Reference Data, ETL & BI Tools, Data Quality concepts, Data Governance & Security
Experience in Management and Maintenance of Large Data Sets over an extended period of time
Proven ability in evaluating technologies and products, contrasting capabilities and making recommendations, and presenting results to leadership team
Proven ability to rapidly deliver prototypes and proof-of-concept work to validate a proposed architectural approach, and proposals

Big Data Architect Resume Examples & Samples

7+ years of experience with distributed scalable Big Data store or NoSQL, including Accumulo, Cloudbase, HBase, or Big Table
Experience with MapReduce programming with Apache Hadoop and Hadoop Distributed File System (HDFS) and with processing large data stores
Experience with the design and development of multiple object-oriented systems
Experience with extending Free and Open-Source Software (FOSS) or COTS products
Ability to show flexibility, initiative, and innovation when dealing with ambiguous and fast-paced situations
Experience with deploying applications in a Cloud environment

Big Data Architect Resume Examples & Samples

15+ years of experience with big data and engineering
Experience with developing conceptual, logical, and physical data models for enterprise systems
Experience with implementing Service-Oriented Architecture (SOA) to achieve service-oriented Cloud computing
Experience with the design and implementation of enterprise data integration solutions and technologies, including Panzura, Talend, and Google DataFlow

Big Data Architect Resume Examples & Samples

Technology Exposure – Hadoop , Hive, Scripting, Spark
Ability to review the critical design elements that are repeatable across projects
Ability to perform design reviews for large projects as part of overall data lake program
Ability to maintain and upgrade the standards and guidelines
Ability to define new ingestion patterns and ensures adherence to same
Take lead and work with principal in bringing additional capabilities in the Data Lake
Guide the leads in new technology uptake and tuning
Able to build the pros and cons, tradeoffs of tactical vs strategic to meet project timelines
Assist and augment the principal architect role
Prefer 12+ years of solid IT consulting experience in data warehousing, operational data stores and large scale implementations
Bachelor Degree

Senior Big Data Architect Resume Examples & Samples

Minimum 10 years of solid IT consulting experience in data warehousing, operational data stores and large scale implementations
Provide ingestion platform for transporting the messages generated from various sources to HDFS
Architect scalable & highly available (HA) solutions
Strong in data concepts
Engage with external vendors to evaluate products and lead POC development
Identifies and recommends new technologies, architectures, processes and tools to increase efficiency and productivity
Interface with other groups such as security & network
Should be familiar with Kerberos security for Data protection
Should be familiar with various encryption and compression techniques
Should have great depth in configuration of HDFS in Unix environment
Expected to resolve performance related issues coming out of the HDFS cluster
Nice to have knowledge in Apache Spark or other streaming based tools
Familiarity with Java is desired
Familiar with AGILE

Big Data Architect Resume Examples & Samples

Ability to work closely with enterprise architect team designing and defining solutions
Strong architect experience
Hortonworks HDP 2.2 with Hadoop, MapReduce, HIVE, PIG, SPARK, Ranger, and KNOX
Apache Sqoop
Apache Cassandra
Working experience on Scala and Java 8
Healthcare industry (medical data processing) experience is plus
Unix shell script working experience
Excellent experience in Java, including J2EE frameworks like Struts and Spring
Knowledge in DB2 or Oracle

Big Data Architect With Spark Resume Examples & Samples

Minimum 12 years of solid IT consulting experience in data warehousing, operational data stores and large scale implementations
Solid understanding of Hadoop architectures
Plan and execute a technology proof-of-concept (POC) using Big Data technology
Responsibilities include gathering requirements, designing a solution, determining the effort to implement the solution, and possibly leading the team to implement the solution
Minimum 1 year designing analytic solutions using Spark and leading the development team to implement these solutions
Linux command line proficiency, bash shell scripting, python, java, scala, SQL, Machine Learning, spark Architecture
Prefer 14+ years of solid IT consulting experience in data warehousing, operational data stores and large scale implementations
Experience working in a client deliver role in an on off-shore model
Previous Consulting experience

Big Data Architect Resume Examples & Samples

Worked closely with system administrators, developers, and key business leaders to establish SLAs and acceptable performance metrics for the Hadoop as a service offering
Install, configure, and optimize the Hadoop cluster on client’s existing infrastructure and on Cloud
Conduct cluster sizing, tuning, and performance benchmarking on a multi-tenant OpenStack platform to achieve desired performance metrics
Perform analysis on large dataset of customer behavior in the online advertising industry in order to identify economic patterns based on their past behavior, geographic location, and demographic information
Develop data ingestion framework in order to aggregate data from web logs, pixel data, and third party demographic database using Apache Flume, Sqoop, and Hadoop streaming
Help lead the charge on a data warehouse/operational data store strategy, ensuring rapid delivery while taking responsibility for applying standards, principles, theories, and concepts
Responsible for design and delivery of data models, which power BI initiatives, dashboards, syndicated reporting, and ad-hoc data exploratory canvases for IMS solutions
Work with data architects on the logical data models and physical database designs optimized for performance, availability and reliability
Tuning and optimization of backend and frontend data operations
Serve as a query tuning and optimization technical expert, providing feedback to team
Design and develop ETL and master data management processes
Scripting and automation to support development, QA and production database environments and deployments to production
Define and help enforce data governance and security policy
Proactively helps to resolve difficult technical issues
Provide technical knowledge to teams during project discovery and architecture phases
Keep management informed of work activities and schedules
Assess new initiatives to determine the work effort and estimate the necessary time-to-completion
Document new development, procedures or test plans as needed
Participate in data builds and deployment efforts
Partner with the business units to develop effective solutions that solve business challenges
10+ years strong native SQL skills
10+ years strong experience in database and data warehousing concepts and techniques. Must understand: relational and dimensional modeling, star/snowflake schema design, BI, Data Warehouse operating environments and related technologies, and ETL, MDM, and data governance practices
5+ years working in Linux
3+ years with Hadoop, Hive, Impala, HBase, and related technologies
2+ years strong experience with low latency (near real time) systems and working with TB data sets, loading and processing billions of records per day
1+ years with MapReduce/YARN
1+ years with Cloud & Hadoop Platform - AWS/Azure/Cloudera/Hortonworks
1+ years with MPP, shared nothing database systems, and NoSQL systems
Retail/Consumer Goods experience is a plus
Ability to complete the full lifecycle of software development and deliver on time
Ability to work with end-users to gather requirements and convert them to working documents
Strong interpersonal skills, including a positive, solution-oriented attitude
Passionate, flexible and innovative in utilizing the tools, their experience, and any other resources, to effectively deliver to very challenging and always changing business requirements with continuous success
Ability to interface with various solution/business areas to understand the requirements and prepare documentation to support development

Big Data Architect Resume Examples & Samples

Hands-on experience developing and deploying distributed data processing applications using Hadoop or similar technologies - HDFS, MapReduce, Hive, Pig, Mahout, Sqoop, Impala, Spark, Kafka, Storm and other big data technologies
Hands-on experience deploying and operationalizing Hadoop technologies from Cloudera, HortonWorks or MapR
Strong in SQL and query optimization skills
Strong experience with any major programming/scripting languages like Java, Linux, PHP, Ruby, Python and/or R
Ability to publish technical documentation and user guides
Prior success in leading big data initiatives to deploy data/reporting systems or tools
Demonstrated experience working with very large data set

Big Data Architect Resume Examples & Samples

5+ years of hands-on large-scale software development / integration experience using Java/J2EE technologies
2+ years of hands-on experience with the technologies in the Hadoop ecosystem like Hadoop, HDFS, Spark, MapReduce, Pig, Hive, Flume, Sqoop, Cloudera Impala, Zookeeper, Oozie, Hue, Kafka
Proven ability to make decisions in technology selection and implementation approach based on long-term strategic objectives, while taking into consideration short-term implications for ongoing or planned implementations
Experience with search systems (Lucene, Solr, ElasticSearch)
Good understanding of Operating Systems (Unix/Linux), Networks, and System Administration experience
Experience using advanced interpersonal abilities with client-facing systems implementation projects
Intellectually curious, reliable, and flexible team player
Passionate about delivering quality

Big Data Architect Resume Examples & Samples

Big Data capability assessment
Scoping and delivery of Big Data solutions
Designing Big Data architectures
Designing Data Lakes
Architect and plan physical implementation of Hadoop clusters
Participated in architecture and implementation of at least 2 successful implementations of a Big Data solution
5+ years of experience with the following

Big Data Architect Resume Examples & Samples

Hadoop Distributed File System (HDFS)
Serialization such as JavaScript Object Notation (JSON) and /or BinaryScript Object Notation (BSON)
Deploying applications in a cloud environment
Designing and developing automated analytic software, techniques, and algorithms, Sentiment Analysis and OpenNLP
Designing, developing and implementing online-machine learning libraries using R, Python, Java Map-reduce and Apache Mahout
Taxonomy construction for analytic disciplines, knowledge and exposure
Minimum of 6 years work experience with Data Architecture
Minimum of 6 years work experience with Java - Java Opensource
Minimum of 3 years work experience with Hadoop
Must be located near one of our 22 Sogeti office locations in the US www.us.sogeti.com/locations

Big Data Architect Resume Examples & Samples

Perform architecture design, data modeling, and implementation of our Big Data platform and analytic applications for Huawei consumer products
Analyze latest Big Data Analytic technologies and their innovative applications in both business intelligence analysis and new service offerings. Bring these insights and best practices to Huawei's global consumer business
Expand data as service collaboration with partners in US and other international markets
Apply deep learning capability to improve understanding of user behavior and data
Develop highly scalable and extensible Big Data platform which enables collection, storage, modeling, and analysis of massive data sets from numerous channels

Big Data Architect Resume Examples & Samples

Develop the architecture for our Big Data & Analytics Platform to optimize the ingestion and management of varied sources of high volume data
Define analytic architecture that leverages the Big Data Platform to enable advanced analysis capabilities
Participate in the end to end delivery of business use-cases including data architecture to deliver results
Design and build efficient yet cost-effective Big Data applications to help business partners answer their business questions
Deliver as part of an agile team the ongoing platform architecture, build and maintenance
Architect the data security, compliance and privacy methodology
Provide leadership to data management and governance methodologies for the team
Evaluate and present proposed architectures to enable platform with highest level of performance, garner leadership support and enable implementation
Stay up to date on the relevant technologies, plug into user groups, understand trends and opportunities
Deep expertise is working with data – all kinds, clean, dirty, unstructured, semi-structured
Have hands-on experience with Cloudera Hadoop Administration (e.g. configuration management, monitoring, debugging, and performance tuning)
Strong experience with large cloud-compute infrastructure solutions such as Amazon Web Services, Google, Azure
Experience managing the full lifecycle of a Hadoop Solution
Experience creating the requirements analysis, the platform selection, design of the technical architecture, design of the application design and development, testing, and deployment of the proposed solution
Experience with the major big data solutions like Hadoop, MapReduce, Hive, HBASE, MongoDB, Cassandra, Spark, Impala, Oozie, Mahout, Flume, ZooKeeper, Sqoop, etc
Firm understanding of major programming/scripting languages like Java, Python, R, etc
Extensive knowledge of UNIX/Linux
Experience in Hadoop Platform Security and Hadoop Data Governance topics
Experience in technical computing (optimization, statistics and machine learning)
Experience with analytics visualization software such as Tableau
Minimum of BS in Computer Science or similar field
Must have at least 8-10 years’ experience in information management and application development
Must have a minimum of 3-5 years working hands on with Big Data technologies

Enterprise Big Data Architect Resume Examples & Samples

Design, build and implement strategic architecture roadmaps to create high performance and scalable Big Data Analytics solutions
Incorporate downstream data needs with holistic view on the data assets, deliver “right” data to the “right” analytics application at the “right” time with “adequate” data quality
Define formal reference architectures and guiding principles
Actively participate in the data related technology (for example RDBMS, Hadoop, NoSQL, Integration, Visualization, etc.) assessments, as well as standards, tools and methodologies development
Participate in enterprise governance committee to ensure business, security and technology requirements aligned to enterprise standards and policies
Certify architectures for standard bid proposals and justify functional components in the proposed architectures
Build and lead a high performing Data Engineering team in NCS
Bachelors or Master’s Degree in Computer Science
At least 15 years in Architect roles with established product companies or SI with Singapore Government project experiences
Experience with substantial project work in large-scale data warehousing and analytics projects
Experienced in design and build of enterprise Big Data solutions using modern data technologies (Hadoop, Spark, NoSQL, etc.)
Best practices related to Big Data solutions using Hadoop, Spark, Hive, HBase, MongoDB, Cassandra, or Graph Databases
Experience with enterprise integration tools & BI/visualization tools

Big Data Architect Resume Examples & Samples

Manage a project, risks & issues, and status reporting; provide technical subject matter expertise in support of the following
Three years experience working with R, Java, Python, SAS, SPSS or other predictive modeling tools
Three years experience in advanced math and statistics
Master's Degree or PhD in Math, Statistics or related field
Three years experience working with Hadoop, a NoSQL Database or other big data infrastructure
Three years experience actively engaged in data science or some other research-oriented activity
Three Years designing and organizing large scale data for a Hadoop/NoSQL data store
Three years of MapReduce coding, including Java, Python, Pig programming, Hadoop Streaming, Hive for data analysis of production applications
Two years designing and implementing relational data models
Two years working with traditional ETL tools & RDBMS
Three years industry systems development and implementation experience OR Minimum of two years of data loading, acquisition, storage, transformation, and analysis
Three years of experience using SAS or R
Experience with the following task using above mentioned emerging technologies

Director, Big Data Architect Resume Examples & Samples

Partner with IKU (Information & Knowledge Utilization) leads and analytics team across Celgene to understand the priority business needs, current capabilities and bottle necks and future needs for the core analytics platform
Develop the conceptual and logical architecture for a best-in-class, Celgene Big Data Analytics platform leveraging cloud computing. This includes platform selection, design of technical architecture, key technologies to be enabled within the platform and shaping the iterative development and testing of the platform
Work with business stakeholders to test and validate that the architecture supports the key patterns and workloads required to enable the priority use cases
Develop and build consensus on a solution plan and a release roadmap to prioritize and deliver key capabilities in an iterative fashion, while delivering tangible use cases and value
Work with IKU Data Governance team to establish and enable the necessary Data governance and Data Security controls for the platform
Leverage Celgene enterprise assets like MDM, Taxonomy and other core capabilities within solution to expedite delivery, promote consistency and expedite costs. Work with capability leads to advance and mature those capabilities as necessary to leverage in analytics platform
Lead the analysis and clearly articulate options with pros and cons to senior IT and business leadership team on critical and strategic architectural decisions for the core Analytics platform
Work with IT Service and Delivery managers to create a roadmap required to implement supporting services (along with roles and talent) to operationalize and sustain the platform
Lead the implementation team to establish the target architecture. Coordinate integrations and dependencies with other IT Teams in Celgene and establish a efficient core working team to achieve the required capabilities
Participate in implementation of specific use cases using the target architecture and leverage lessons learned to refine the solution plan and roadmap
Bachelor's degree in computer science, system analysis or a related study, or equivalent experience
Minimum 7-10 years of hands-on design, architecture and delivery experience implementing large and nimble analytical or data warehousing solution including firm understanding of ETL and visualization tools. Experience in pharma/biotech industry a plus
Minimum 3 years of hands-on experience architecting, implementing and delivering analytical solutions and insights in a business facing role, using

Big Data Architect Resume Examples & Samples

20% Lead conversion planning and forecasting on a weekly, monthly, seasonal, and annual level. Lead ongoing ad hoc analysis of critical business issues that impact site performance; translate analysis into executable recommendations
10% Communicate opportunities to drive financial goals cross-functionally by making suggestions that support site-wide objectives
10% Prioritize and manage execution of requests for report enhancements and analysis from business partners. Establish and evangelize improved data-driven views of site performance
20% Responsible for presenting analysis and test results and resulting recommendations to peers and senior management. Leverage data to assist in defining site enhancement requirements and be able to present a compelling business case for securing those investments
10% Manage web analytic project prioritization based on business needs. Maintain and prioritize a list of enhancements requested for all measurement technology in place at Home Depot online
10% Share leadership for the teams responsible for web analytics (reporting and analysis) and, over-time, structured site (A/B, MVT) testing
10% Draw reasonable and actionable conclusions from analytic summaries and recommend changes to existing policies and processes based on analytic conclusions and understanding of business requirements and drivers. Support recommendations with clear business case that demonstrates bottom-line value
10% Collaborate with peers to ensure consistency of information, methodologies and reports. Share best practices and develop systems knowledge to deliver new reports and enhance existing reports to meet needs

Big Data Architect Resume Examples & Samples

Encourages teams to work collaboratively ensuring a consistent technology implementation
Creates a technical vision and clearly articulates this to stakeholders and engineers
Promotes standards through workshops, knowledge shares, and code walk-throughs
Works closely with Director(s) of Engineering to identify training opportunities for team members
Acts as subject matter expert by leading data innovation and keeps the company up to date with data technology evolution
In-depth technical understanding and experience with Relational databases
In-depth technical understanding of Data Warehousing concepts
In-depth technical understanding of “NOSQL” technologies as well as practical experience with at least two flavors of “NOSQL”
Experience with Elasticsearch is a plus
Experience with indexing, searching, and analytics over large data sets
Proficient in conducting and communicating an evaluation and selection process
In-depth understanding and experience implementing Redundancy and Disaster Recovery scenarios
Strong technical understanding of the Microsoft technology stack, and the challenges of integrating open source technologies
Working knowledge of Agile Project Development Methodologies
Distributed and cloud computing environment experience
Demonstrated research and problem solving skills and is capable of independent thought
Strong leadership, teamwork, and partnering skills for cross-group collaboration
Ability to perform under pressure and deliver complex technical solutions
Superior communication skills with proven ability to relate with both technical and business professionals
Bachelor’s Degree or equivalent in computer science or related disciplines
Experience architecting, overseeing implementation, and technical development for solutions in Elasticsearch or SOLR or Cassandra
Proven track record of implementing and managing large scale Relational, Data Warehousing, and “NOSQL” implementations
Demonstrated background in big data; principles, architecture, and implementation in large multi-terabyte environments
Thought leader in the data technology space (demonstrated by published white papers, thesis, or internet blogs on “big data/data science” topic, as well as active contribution to a big data open source project)

Big Data Architect Resume Examples & Samples

Proficiency in Clojure, Haskell, or Erlang
Experience with HDFS, Hadoop, Hive, Impala, Sqoop, Kafka, Hue, or Spark
Experience with Informatica, IIB, MQFTE, TWS, ETL tools, or Spring XD
Full-stack development including HTML5, CSS, and popular JavaScript libraries

Big Data Architect Resume Examples & Samples

Provide technical oversight and mentoring to peers and junior teammates to grow the team’s overall capability
Provide consultative subject matter scoping assistance to Technical Sales Specialists as needed to produce accurate statements of work as a customer deliverable
Deliver customer facing consultative white-boarding sessions to help cultivate Big Data services opportunities in partnership with the Sales team as needed
Attend and support the Sales team at the Executive Briefing Center by presenting and explaining the value of proposed Big Data solutions
Build effective relationships with the Sales community by establishing self and team as the Subject Matter Experts (SMEs) and “trusted advisors” for the BI &A Services organization
Present comprehensive analysis and documentation of the customer’s “As Is” state of operations and recommendations for optimal “To Be” state. This requires proficiency in creating and operating ROI & TCO models
Contribute to IP development, best practices, and knowledge sharing to drive standardization
10+ years Business Intelligence Consulting experience
Professional services experience is preferred
Exceptional interpersonal, communication and presentation skills at CxO, and CTO levels
6 years of experience with related languages (e.g. Java, Linux, Apache, Perl/Python/PHP)
Knowledge of NoSQL platforms (Hbase, MongoDB, Cassandra, Accumulo, etc.)
6 years of experience with ETL (Extract-Transform-Load) tools (e.g., Informatica, Ab Initio, etc.)
6 years of experience with BI tools and reporting software (e.g. Microstrategy, Tableau, Cognos, Pentaho)
Demonstrated experience in effectively supporting a Big Data practice in a professional Services firm
Proven ability to generate and build offers sets that drive multi-million dollar services projects
Demonstrated experience in generating and closing identified revenue targets
Demonstrated ability to multitask and work multiple projects concurrently
Demonstrated ability to provide technical oversight for large complex projects and achieve desired customer satisfaction from inception to deployment in a consulting environment
Advanced analytical, problem solving, negotiation and organizational skills with demonstrated ability to multi-task, organize, prioritize and meet deadline
Ability to interface with the client in a pre-sales fashion, and on an on-going basis as projects progress
Demonstrated initiative and positive can-do attitude
High level of professionalism, integrity and commitment to quality
Demonstrated attentiveness to quality and productivity
Technical and project management experience
Strongly prefer candidates that have one or more certifications in Apache Hadoop – Cloudera, HortonWorks, etc.)

Big Data Architect Resume Examples & Samples

Design product architectures, in partnership with product manager and following strategic architectural decisions
Participate in discussions with product teams and lead engineers to understand, challenge and evolve requirements for a solution
Mentor, coach, support a team of engineers. Conduct code and architecture reviews, manage technical debt for all Data & Analytics applications
Develop innovative solutions
Build proof of concepts to assess architectural direction, demonstrate feasibility
Provide high level estimates of effort, identify complexities
Champion non-functional requirements and evolve architecture to meet increasing expectations
Evangelize and lead the implementation of agile development practices – Evolutionary design, refactoring, continuous integration/delivery, test-driven development
Support day-to-day engineering teams
Contribute to standards, assets and frameworks required to support GroupM’s business strategy
Take ownership of production support for our mission critical data pipeline
Participates in the development, mentoring and retention of staff members under their management
Actively contributes to company initiatives, processes and roll-outs
Hands on team player and contributing to a professional and balanced working environment
Knowledge of digital media data
AWS Certified Solution Architect

Big Data Architect Resume Examples & Samples

Big data architecture for Vestas Data Hub
Roadmaps for the future architecture
Initiating projects to support the roadmap
Participate actively in a Smart Data Architect team to coordinate the Smart Data efforts within Vestas
Turn architecture proposals into actionable tasks for our developers to implement
Master in Computer Science or related field
Demonstrated ability to coordinate cross-functional work teams towards task completion
Several years' experience with Big Data Architecture
Solid understanding of Data Warehousing and Hadoop platform
5+ years' experience within general software architecture
Demonstrated analytical skills and ability to drive software architecture
Fluent in English, both verbally and written

Associate Big Data Architect Resume Examples & Samples

Solid understanding of software development from design and architecture to production
Solid math skills
The ability to present impromptu and via a whiteboard

Big Data Architect Resume Examples & Samples

Ensure via principles, standards and methodologies that information is treated as a strategic asset and the integration of data can deliver value
Establishes the architecture and frameworks that facilitate flexible sharing and exchange of enterprise information
This position will focus on Big Data/Hadoop and report into the CTO
Formulates business plans, including business drivers, goals and objectives, to steer CHI’s design, implementation, and enhancement of an enterprise information architecture
Oversees the analysis and design of the data stored by information systems, concentrating on entities, attributes, and inter-relationships
Implements a discipline and approach to managing information assets and converting the principles of the architecture into a technology solution
Evaluates and recommends potential technologies, tools, hardware and software to accomplish CHI’s information management goals
Keeps up-to-date and knowledgeable about industry trends and emerging technologies associated with enterprise information architecture
Set information architecture standards, methodologies, and requirements to strengthen the network effect of sharing information across the enterprise
Establish the scope of information architecture activities
Recommends organizational structure, along with roles, responsibilities and reporting lines, necessary to design, implement, and govern CHI’s information architecture
Have a cross-functional understanding of the IT architectural domains, while also having deep subject matter expertise within the information domain, and the ability to communicate its role and importance to other IT domain architects
10+ years’ experience in an IT environment, with a focus in: architecting enterprise information architecture, strategies and roadmaps, providing business, governance and technical recommendations, and analyzing inter-relationships between various domains of enterprise information
Experience in designing governance structures and control frameworks for ongoing data management, analyzing program needs, and the ability to offer incremental approaches to achieve strategic objectives
Experience with large scale data remediation projects, from issue identification, through to remediate/resolution as it relates to specific regulatory, risk or operational issues
Ability to communicate with and take direction from Enterprise Architect
Demonstrated ‘big picture’ thinking – the ability to see how parts interact with the whole while retaining the ability to focus on information domain capabilities
Demonstrated process orientation – the ability to build repeatable and reusable processes
Adheres to and exhibits our core values
Adheres to organizational and department specific safety standards and guidelines

Big Data Architect Resume Examples & Samples

Experience defining architecture frameworks, governance and adoption of the frameworks in a large organization
Experience working with C-level technology leaders
Experience architecting solutions that leverage quantitative models
Attention to detail and high level of accuracy

Big Data Architect / Engineer Resume Examples & Samples

Ability to work well under pressure, without supervision and as a team member with other staff, faculty or students
Ability to create technical documentation and architecture specs
Solid work ethic
Commitment to creating automated tests and using automated test frameworks
Familiarity with property based testing frameworks like QuickCheck would be an added advantage

Big Data Architect Resume Examples & Samples

Understand and translate project requirements into technical requirements and solutions for data engineering team to execute
Architect and design a Big Data analytics platform that is scalable, optimized and fault-tolerant
Participate in setting strategy and standards through data architecture and implementation leveraging big data and analytics tools and technologies
Work closely with data scientists and product managers to understand their data requirements for existing and future projects on data analytics applications
Research and suggest new toolsets/methods to improve data ingestion, storage, and data access in the analytics platform
Keen business acumen to recognize and recommend cost-effective and scalable platform solutions that best meet current and future business needs
Comfortable working in a dynamic, research and development environment with several ongoing concurrent projects

Senior Big Data Architect Resume Examples & Samples

Expertise - Collaborate with AWS field sales, pre-sales, training and support teams to help partners and customers learn and use AWS servicessuch as Amazon Elastic Compute Cloud (EC2), Amazon Data Pipeline, S3, DynamoDB NoSQL, Relational Database Service (RDS), Elastic Map Reduce (EMR) and Amazon Redshift
Deep understanding of database and analytical technologies in the industry including MPP databases, noSQL storage, Data Warehouse design, BI reporting and Dashboard development
Ability to travel to client locations when needed

Big Data Architect Resume Examples & Samples

Design big data platforms across the enterprise for reporting and analysis use cases
Partner with stakeholders and support their requests quickly and efficiently while ensuring appropriate controls and governance
Design scalable and reliable Big Data solutions leveraging Hortonworks HDP Hadoop platform, RDBMS, BI tools, SaaS platforms and APIs
Architect ETL/ELT to efficiently onboard Big Data sets
Perform Data Profiling to design optimized data structures
Perform code reviews to ensure adherence to Enterprise Standards
Architect Logical/Physical Models for the various Hadoop Clusters
Support the design of data mining and machine learning applications
Participate in the on-going tuning of the big data platform
Maintain close contact with technical personnel, vendor and industry resources to keep big data platform up-to-date
Work collaboratively with all levels of business and IT stakeholders to understand complex data relations and business requirements
Train IT and business teams in the use of Big Data environment to democratize Big Data capabilities
Apply concepts, industry research, best practices and agile methodologies and tools (Jira, Confluence) to implement Big Data solutions
Act as a Subject Matter Expert for architected and managed products
Maintain and update Data Models for big data databases
A degree in Computer Science, Engineering, Technology or related field
Hadoop Developer or Administrator certification (Hortonworks preferred)
5+ years of production experience in Software development and SDLC
5+ years of experience architecting enterprise software solutions
5+ years of experience developing Unix/Linux applications
Experience in creating scripts/processes to automate production systems
In-depth understanding of Hadoop technology stack, including HDFS, YARN, MapReduce, Tez, Hive, Pig, Spark and other components
Minimum 3 year of production Hadoop experience. Hortonworks HDP 2.2 and above experience is strongly preferred
Minimum 2 year of production experience developing Hadoop Big Data applications for ETL/ELT, analytics, machine learning or reporting
In-depth understanding and production experience with Oozie and similar Hadoop data management frameworks
Minimum 1 year of production experience with Hadoop performance tuning, optimization, job processing and security
Production experience with ETL tools such as Oracle ODI, Talend, Informatica, Control-M
Production experience with BI Reporting and Visualization tools: Tableau, Oracle OBIEE, Microstrategy
Working knowledge of relational and column-based DBMS, including Oracle, Teradata, Vertica or equivalent
Working knowledge of NoSQL databases such as HBase, Cassandra or equivalent
Proficiency with source control, continuous integration and testing frameworks and methods
Experience working in lean/agile environments is strongly preferred, including working knowledge of Jira/Confluence
Strong communication skills to work with various functional teams
Ability to allocate time efficiently, handling multiple demands and competing priorities

Big Data Architect / Principal Engineer Resume Examples & Samples

Responsibilities will include setting the vision, gathering requirements, formulating technical consensus, leading and performing technology assessments, and leading a cross-functional team in developing, deploying and maintaining the solution
Establish standards and guidelines for the design & development, tuning, deployment and maintenance of information, advanced data analytics, and text mining models and physical data persistence technologies
Integrate the big data solution with our new micro-services and portal architectural approach
Data storage petabyte scale architectures
Knowledge discovery advanced knowledge in entity and relationship extraction from unstructured data
Data governance experienced in developing and integrating software allowing for flexible and scalable data transformation with data quality controls
Data visualization knowledge of tools that are cost-effective and
Data analytics strong backgrounds in statistics, machine learning

Big Data Architect Resume Examples & Samples

Research, evaluate, architect, deploy new tools, frameworks and patterns to build sustainable Big Data platforms
Design and implement complex highly scalable statistical models and solutions that comply with security requirements
Define and develop APIs for integration with various data sources in the enterprise
Actively collaborate with other architects and developers in developing client solutions
Architect solutions in building frameworks for data ingestion, loading and transformation
Provide technical roadmaps and Hadoop solutions to better position the business to meet new technical and competition challenges
Review and improve existing system solutions and processes towards best practices
Performance tuning of handling large scale data volume and transformations. Ability to translate high-level business requirements into detailed design
Ability to solve practical problems and deal with a variety of concrete variables in situations where only limited standardization exits
Experience guiding and mentoring 2-5 developers on various tasks
Own a complete functional area - from analysis to design to development and complete support
10+ years of hands-on experience in handling large-scale software development and integration projects
6+ more years of experience working with multiple projects through the entire SDLC in data warehouse environments and solid SQL skills
Experience in Spark, Kerberos authorization / authentication and clear understanding of cluster security
Good understanding of Change Management Procedures
Experience with hardware selection and capacity planning
Experience with Java, Python, Pig, Hive, or other languages a plus
Experience with cloud technologies (AWS)

Big Data Architect Resume Examples & Samples

Lead the design, implementation and support of SAP Big Data, Analytics, HANA and Cloud solutions in large and complex Analytics environments
Natural ability to look for solution gaps and provide strategic recommendations that allows the use of SAP technology and services to influence win-win business outcomes
Ability to interact with both business and technical stakeholders of clients to
Understanding of business and IT strategy with in-depth knowledge of SAP Big Data, BI and Analytics products, solutions and capabilities
Experience in providing advanced technology advisory services
Strong negotiating and influencing skills to reach binding agreement on key transformation
Decisions
Team player, proactive networking attributes, results and execution focused, self-starter
Ability to travel domestically for client facing engagements
Significant experience in technology consulting, enterprise and solution architecture, and architectural frameworks
Must have at least 5 years of customer-facing product and project experience across Business Intelligence, Data Architecture and Data Warehousing
Must have at least 5 years of SAP HANA hands-on experience
Experience in Big Data and IoT use cases, strategies and Cloud models
Breadth and depth of experience to effectively consult on different Big Data aspects of a SAP engagement

Big Data Architect Resume Examples & Samples

Directly applicable IT experience in SDLC
Experience with Hadoop, Spark, SAS, R, Python, Scala, Analytical Appliances like IBM Netezza, Oracle
Prior experience in the health solutions and retail industry

Lead Big Data Architect Resume Examples & Samples

Design, build and support scalable, high performance data applications, repositories and data governance related applications
Define data architecture standards and establish best practices for data management
Mentor the Development and Data & Analytics teams on data application design and data modelling
Drive Big Data POC's across the business, find use cases for Big Data Platform
Previously designed and built a large "Big Data platform", which has enabled non-technical users to gain insight into key business metrics

Big Data Architect Resume Examples & Samples

Data Architecture and Development (5+ years)
Data Warehousing Experience (5+ years)
Hadoop Experience

Big Data Architect Resume Examples & Samples

Two years experience working with R, Java, Python, SAS, SPSS or other predictive modeling tools
Two years experience in advanced math and statistics
Two years experience working with Hadoop, a NoSQL Database or other big data infrastructure

Enterprise Big Data Architect Resume Examples & Samples

Architect large volume data flows from mainframe, relational and other sources to Hadoop, transformations and processing on Hadoop, and export from Hadoop to target systems
Automate and manage lifecycle of data on Hadoop (job scheduling, purge, compress, archive)
Manage lineage and other metadata of dataflows on Hadoop
Process data on Hadoop for analytics and data science consumption at the both the HDFS, HAWQ table and toolset level
Own near- and long-term capacity planning of multiple Hadoop clusters
Guide performance testing and recommend solutions for any performance bottlenecks
Evolve and govern standards, principles and best practices around Big Data implementations
Work effectively across multiple business units and stakeholder groups
Demonstrate thought leadership and guidance on Big Data adoption within the organization
Communicate solutions architecture alternatives and rationales to key stakeholders and project teams
Contribute on multiple Big Data projects and assign tasks to junior engineers (onshore and offshore), oversee the execution of tasks and provide mentorship and guidance as needed
Understand business objectives and suggests technical strategies to meet those objectives
Contribute to business requirement definition and use case design as a technical expert
Convert business requirements into architectural designs and detailed technical designs
Identify tasks, effort and dependencies based on software architecture and specifications
Understand, conform to and participate in enterprise-wide architecture patterns and formal reviews including security and regulatory compliance
Evaluate and adopt latest technologies to evolve the Big Data platform
Ability to architect and rationalize Big Data solutions and patterns to multiple stakeholders based on business, functional and non-functional requirements
Hands on technical competence in the following
Big Data technology - Java, Linux shell scripting, Hive/HAWQ, Pig, UDFs and other Hadoop ecosystem components
Big Data engineering
Data warehouse, BI, ETL and reporting tools
RDBMS data modeling and SQL
Strong problem-solving and strategic planning skills
Effective communication, collaboration, presentation and influencing skills
Syncsort DMX-h
Enterprise Application integration
Master Data Management tools and methodologies
10+ years of solid IT experience in architecture, data warehousing and large scale implementations
3+ years in Big Data
Experience working as a member of a distributed team of technical and domain experts
Excellent one-on-one communication and presentation skills, able to convey technical information in a clear and unambiguous manner to multiple stakeholder groups

Big Data Architect Resume Examples & Samples

Identify right file formats, right technology stack based on business scenarios
Performance tuning of handling large scale data volume and transformations
Shell Scripting, Scheduling through Oozie, falcon and building data pipeline and data flow
Batch processing, real-time processing, and Junit/MR unit testing
10 + years of solid IT consulting experience in data warehousing, operational data stores and large scale implementations
Must have experience in managing the full life-cycle of a Hadoop solution. This includes creating the requirements analysis, design of the technical architecture, design of the application design and development, testing, and deployment of the proposed solution
Strong software development skills (version control, code review, testing, release, monitoring, debugging)
Competencies with Hadoop scripting, Hive, Pig, Map Reduce, Impala, Spark, Kafka, Storm, Sqoop and SQL DB
Expertise in distributed, cloud or big data systems and architectures
12+ years of solid IT consulting experience in data warehousing, operational data stores and large scale implementations
Exposure to Python platform technologies
Experience preferred in Manufacturing/Logistics/Energy/Utility

Data Engineer / Big Data Architect Resume Examples & Samples

Maintain existing models and score new data sets as required
Write Hive UDF’s to run R code in Hadoop
Develop predictive models using a variety of supervised machine learning techniques
Build analytical data sets in Hadoop
Execute exploratory data analysis and manipulate results as needed to support modeling objectives
Assist in converting desktop R code to run in parallel on Hadoop cluster
Degree in a quantitative field with emphasis on statistics, mathematics, econometrics, industrial engineering, and/or computer science
2-4 years working with supervised and unsupervised machine learning techniques including logistic regression, k-means, random forests
1-2 years working in Hadoop environment, experience writing map/reduce code
1-2 years manipulating large data sets in Hive
Strong model coding skills in SAS, R, Matlab, Python, or Spark
Time series analysis preferred

Expert Big Data Architect Resume Examples & Samples

Demonstrated experience and success managing projects
Facilitating team status meetings
Developing project related documentation
Understanding of Agile/Scrum methodologies

Big-data Architect / Developer Resume Examples & Samples

The technical design and implementation of data extraction
Transformation and loading into NoSQL databases
Development of RESTful APIs to be used by custom applications and/or reporting systems, such as Tableau

CMT Big Data Architect Manager Resume Examples & Samples

Use case and business case development
Vendor landscape and technology assessment across all the architecture layers (covering vendors such as Cloudera, Tableau, QlikView, hortonworks etc)
Solution architecture formulation (including role of conventional information management platforms)
Proof of concept execution to prove the value of Big Data use cases
Full lifecycle implementation from requirements analysis, platform selection, technical architecture design, application design and development, testing, and deployment
We are looking for candidates with a broad set of technology skills to provide thought leadership, solution architecting and implementation experience for robust Big Data solutions for big data opportunities
Deep experience across systems integration, information management, data management and business analytics
Experience with large-scale, multi-release information centric projects
End to end implementation of a big data project including data quality, data integration, NoSQL, predictive analytics
Ability to support business development activities to articulate Accenture's Data Platform technical capabilities and help shape and communicate proposed solutions to client executives and architects
A professional, constructive and reliable approach to work; a team-player who is equally comfortable in small to large teams, working closely day to day with our clients on site
Strong presentation and communication skills; able to present complex ideas and solutions to audiences of varying levels

Finance & Risk Big Data Architect Resume Examples & Samples

Aligned & Integrated Business & Technology Architecture
Data Sophistication Driving Analytical Insight
Global Transformation With Local Expertise
Experience in architecting and implementing Big Data solutions (e.g. Hadoop, Cloudera) in a banking or insurance context
Be able to clearly articulate the benefits of big data solutions over more traditional data architectures
Be able to advise clients on building or enhancing big data architectures based on industry best practices and their own past experience of such solutions. Credibility in this area requires domain and industry-specific experience
Highly numerate with a strong technical knowledge and experience of applying analytical and modelling techniques to provide insights to business issues
Experience in applying analytical techniques

Big Data Architect Resume Examples & Samples

Total 10+ years of experience and Miniu 2+ years hands-on experience in Hadoop programming
Hands on experience in MongoDB
Good knowledge in back-end programming, specifically java, JS, Node.js and OOAD
Ability to write MapReduce jobs
Good knowledge of database structures, theories, principles, and practices
Experience in Hive
Knowledge of workflow/schedulers like Oozie
Proven understanding with Hadoop, HBase, Hive, Pig, and HBase
Experience with healthcare data preferred

Big Data Architect / Developer Resume Examples & Samples

Data Analytics & Data Mining principles and solutions, including visualization & reporting services
Using and defining automated tests to verify that loads and transformations work as intended
Manipulating, aggregating and deriving useful information from data stored across many sources and different databases
Strong Java or Scala development skills; NoSQL (e.g. MongoDB and HBase)
Ability to conceptualize innovative data models for complex products, and create
Excellent analytical and problem solving skills in a fast-paced environment
Comfortable and effective in dealing with ambiguity and rapid learning goals
Experience working in agile teams; self-motivated and outstanding team player
Exposure to failure mode predictive analytics for service & stability improvement a
Bachelor’s Degree in Computer Science, MIS, Math or Statistics, or equivalent
5+ years of experience in the applied analytic space
5+ years of programming skills & experience in Java, C++, R, Perl, or Python
3+ years of advanced experience with Hadoop (preferably HDP)

Big Data Architect Resume Examples & Samples

Applies broad knowledge of technology options, technology platforms, design techniques and approaches across the data life cycle phases to design an integrated, quality solution to address the business requirements
Meets and collaborates with business users on requirements, objectives and measures
Designs the technology infrastructure across all technical environments
Ensures completeness and compatibility of the technical infrastructure to support system performance, availability and architecture requirements
Designs and plans for the integration for all data warehouse and non-DW source system technical components
Supervises the technical implementation of the data lake and oversees hardware/ software configuration
Provides input and recommendations on technical issues to our leadership team
Reviews technical work of other team members
Reviews and participate in testing of the data design, tool design, data extracts/transforms, networks and hardware selections
Develops the implementation and operation support plans
8+ years experience with and detailed knowledge of data warehouse and advanced data architectures, infrastructure components, ETL/ ELT and reporting/analytic tools and data structures
4+ years experience in architecting data warehouse solutions and integrating technical components, specifically including experience with Oracle, SQL and PL/SQL
Current hands-on implementation experience
Candidates with a Ph.D. or MS degree in a relevant field are preferred
Implementation and tuning experience for

Big Data Architect Resume Examples & Samples

Utilize Java, distributed systems and big data technologies to develop high-performance, scalable systems and data pipelines for use within the AEG ’s web services systems
BS in Computer Science or related field with 5-7+ years of experience
Strong experience with Hadoop, Hive, Hbase and related big data systems
Extensive programming experience in Java, Python, R
Advanced skills using one or more scripting languages (e.g. python, UNIX shell scripts)
Extensive background developing on Linux systems
Expert knowledge of agile development methodology
Proven ability to lead teams both local and offsite
Extensive experience with cloud hosted applications (i.e. Rackspace, AWS, Azure, HP)
Experience with integrating open-source technology into large enterprise platforms

Big Data Architect Resume Examples & Samples

Validate the reference architecture and provide details for the architecture of platforms, leading and working hands-on towards implementation and delivery to production for Hadoop, Cassandra and Kafka platforms
Help lead the charge on operational strategy, ensuring rapid delivery while taking responsibility for applying standards, principles, theories and concepts
Tuning and optimization of clusters
Define and help enforce data governance and security policies in conjunction with delivery teams to setup new Hadoop users. This job includes setting up Kerberos principals and testing HDFS, Hive and MapReduce access for the new users
Screen cluster job performance and capacity planning
Diligently teaming with the infrastructure, network, database, application and business intelligence teams to guarantee high data quality and availability
Collaborating with application teams to install operating system and big data platform(Hadoop, Cassandra and Kafka) updates, patches, version upgrades when required
Work with platform partners to create trouble tickets and incorporate fixes from the partners into the environment
Automation of deployment, customization, upgrades and monitoring through DevOps tools
Mentor admin and development team members
Pro-actively helps to resolve difficult technical issues and provide technical knowledge to the team
Computer Science Degree
5+ years of experience in administration/architecture in the field of big data specific to Hadoop, Cassandra and Kafka
Prior experience in migrating big data platforms from earlier to latest versions of the platforms
Proven track record in incorporating latest operational tools into big data platforms
Strong knowledge of configuration management process using software such as Ansible,Puppet or Chef
Experience with monitoring tools like Nagios, Munin, Zenoss, etc
Fundamental knowledge of servers/computers hardware and software
Fundamental knowledge of Load balancers, firewalls, TCP/IP protocols
Experience with programming languages like Python, C, C++, Java, Perl or PHP, including with UNIX scripting
Experience with performance tuning (JVM, JMX, connection pooling) using JConsole or similar profiling tools

Big Data Architect Resume Examples & Samples

Collaborate in planning initiatives in Workshops, Big Data Architecture, Future Roadmaps, Operations and Strategic Planning
Mentor team members on best practices in Big Data
Identify and suggest training opportunities for immediate workgroup to help promote bench strength
Drive the evolution of infrastructure, processes, products, and services by being a trusted advisor to decision makers
Solid understanding of Big Data Ecosystems - strong preference with Hadoop and Hadoop project implementations
HANA would be a plus
Attention to detail, time management, work prioritization, multi-tasking, estimate tasks, on-time deliverables, task delegation
Ability to understand business requirements and building pragmatic/cost effective solutions using Agile project methodologies
Ability to work effectively across internal and external organizations
Experience working within a Management or IT consulting firm preferred

Big Data Architect Resume Examples & Samples

Provides leadership & expertise in establishing analytic environments required for structured, semi- and unstructured data that includes a real-time cloud based infrastructure with both hot and cold-path data processing capabilities and minimizes processing resource utilization through elastic execution
Manage the Managed Services vendor team
Guide in development & support of innovative solutions to complex Big Data projects for all consumed applications internally
Develops, documents and implement best practices for Big Data solutions
Design, construct, and manage the Amazon Web Services data lake environment including: data ingestion, staging, data quality monitoring, and business modeling
Drive the collection, cleansing, processing, and analysis of new and existing data sources, including the oversight for defining and reporting data quality and consistency metrics
Prepares flow charts, business process management (BPM) workflow, and systems diagrams to assist in problem analysis
Responsible for preparing design/technical/functional specification documentation
Designs, configures/codes, tests, debugs and documents software/solution according to SBD-IT systems standards, policies and procedures
Prepares test data for unit, development integration and performance testing
Interacts with users and I/T to define current and future requirements
Extensive knowledge and hands-on experience with
8+ years of progressive experience Data Modeling, Data Architecture, or related work to the construction of enterprise data assets
4+ years of experience designing and developing cloud based solutions (preferably through AWS)
Possesses expert knowledge of applications programming and analysis and the impact of the solutions on the business and IT functions
Applies expert knowledge to analyze and develop solutions to highly complex problems (including global implications)
Competent to lead all phases of applications programming
Possesses and applies an expert level of understanding of the principles of applications programming
Demonstrated ability to offer highly complex programming solutions
Ability to effectively communicate business issues and needs at a senior leadership level and how technology supports those requirements

Big Data Architect Resume Examples & Samples

Works with the client community in the definition of scope, requirements, processes, and procedures to ensure the success of projects. Develops working relationships with business area leaders and end users
Research, evaluate, and deploy new tools & frameworks to build sustainable Big Data platforms for the business
Applies Agile development methodologies to projects of various sizes
Recognizes business needs and proactively proposes new projects and defines project scope, requirements and timetables
Travels occasionally for the purposes of training or to visit client groups (domestic/international)
Stays current with new or emerging tools and technologies
Database development experience using Oracle, SQL Server, SAP BW or SAP HANA
Experience with tools and concepts related to data and analytics, such as dimensional modeling, ETL, reporting tools, data governance, data warehousing, structured and unstructured data
A strong desire to work with a wide array of Big Data Technologies (MPP Databases, Hadoop, Cloud, NoSQL) while keeping up with others as they emerge
Experience with Public Clouds (AWS, Azure, Google, IBM, etc)
Understands and has experience with data security and privacy concerns
Proven leadership experience with the ability to work effectively in both a team environment and individually
Possess a strong desire to work hands-on developing analytics and reporting solutions across a range of industries and functional disciplines
Problem solving skills combined with excellent written and verbal communication required
Bachelor’s degree, preferably in IT, IS, Computer Science or equivalent work experience
5+ years of hands-on large-scale software development / integration experience
Experience in Microsoft Windows Azure Cloud platform is a huge plus

Senior Big Data Architect Resume Examples & Samples

Ensure data quality across the whole environment
Manage a project, risks & issues, and status reporting; provide technical subject matter
Expertise in support of the following
Bachelor's degree and fifteen years related work experience
Five year’s experience working with Scala, Java, Python or other predictive modeling tools
Five year’s experience in advanced math and statistics

Big Data Architect Resume Examples & Samples

Apply broad knowledge of technologies and platforms, design techniques and development methods to design, implement, test and integrate solutions, ensuring completeness, compatibility, quality, availability, scalability and performance
Conceptualize creative solutions to complex technical problems and lead the way with continuous innovation
Keep abreast of latest developments in next generation infrastructure and data analytics. Evaluate and recommend Big Data technologies ensuring alignment with existing platform and technology choices
Liaise with businesses, internal customers and external collaborators on requirements, objectives and measures
Communicate findings and report progress to stakeholders on a regular basis. Use data visualization and summarization techniques for conveying key findings
Plan and execute projects in parallel, ensure timely delivery
Provide technical mentorship to teams and support management in identifying and implementing competency development measures
Expert-level knowhow of distributed computing, data warehouse technical architecture, infrastructure components, ETL, data modeling etc
Hands-on experience in big data platforms, infrastructure and tools (Hadoop, Pig, Hive, Spark, Kafka, Flume etc)
Knowhow of NoSQL databases (e.g. Cassandra, HBase, MongoDB, Redis, Neo4J etc.)
Programming experience in Java and Python
Proficiency in one or more software development tools such as TFS/Git, MS Visual Studio/Eclipse
Experience on analytics tools such as R, SAS and cloud service-oriented platforms (e.g. AWS, Azure) would be an added advantage
Must have excellent collaboration, interpersonal and communication (written and verbal) skills
Should be flexible, adaptable, and enthusiastic about working in a growing, dynamic team

Big Data Architect Resume Examples & Samples

Provides leadership & expertise in establishing analytic environments required for structured, semi- and unstructured data that includes a real-time cloud based infrastructure with both hot and cold-path data processing capabilities and minimizes processing resource utilization through elastic execution
Manage the Managed Services vendor team
Guide in development & support of innovative solutions to complex Big Data projects for all consumed applications internally
Develops, documents and implement best practices for Big Data solutions
Design, construct, and manage the Amazon Web Services data lake environment including: data ingestion, staging, data quality monitoring, and business modeling
Drive the collection, cleansing, processing, and analysis of new and existing data sources, including the oversight for defining and reporting data quality and consistency metrics
Analyzes business needs and creates software solutions
Evaluates and recommends software and hardware solutions to meet user needs
Prepares flow charts, business process management (BPM) workflow, and systems diagrams to assist in problem analysis
Responsible for preparing design/technical/functional specification documentation
Designs, configures/codes, tests, debugs and documents software/solution according to SBD-IT systems standards, policies and procedures
Prepares test data for unit, development integration and performance testing
Resolves customer issues with software solutions and responds to suggestions for improvements and enhancements
Interacts with users and I/T to define current and future requirements
Extensive knowledge and hands-on experience with:◦Big Data platforms and software like Hadoop, Apache Spark, Cassandra, HBase, HDFS, Map-Reduce, Hive, PIG, MongoDB, Sqoop, Storm
8+ years of progressive experience Data Modeling, Data Architecture, or related work to the construction of enterprise data assets
4+ years of experience designing and developing cloud based solutions (preferably through AWS)
10+ years of relevant experience or equivalent combination of education and work experience
Possesses expert knowledge of applications programming and analysis and the impact of the solutions on the business and IT functions
Applies expert knowledge to analyze and develop solutions to highly complex problems (including global implications)
Competent to lead all phases of applications programming
Possesses and applies an expert level of understanding of the principles of applications programming
Demonstrated ability to offer highly complex programming solutions
Ability to effectively communicate business issues and needs at a senior leadership level and how technology supports those requirements

Big Data Architect Resume Examples & Samples

Actively contribute to the Modern Data Architecture community at Slalom, and drive new capability forward
Proficiency in data modeling and design/development in SQL and NoSQL
Experience of data mining techniques and working with data intensive applications
Analytical approach to problem-solving; ability to use technology to solve business problems
Experience with streaming analytics and/or batch processing
Experience with Linux/Unix
Knowledge of cloud platforms, for example
6+ years of business intelligence and consulting experience
Experience working with various verticals (e.g., insurance, utilities, manufacturing, financial services, technology)

Big Data Architect Resume Examples & Samples

On software development expertise with Big Data technologies, including Hadoop, Splunk, Cassandra, BigQuery, MapReduce, Impala, Redshift, Kinesis, or Postgre SQL. Leverage expertise in enterprise data modeling, data normalization, key or value pair modeling, use case modeling, business rule design, and storing metadata and data dictionaries within a formal modeling tool
Experience with implementing Service
Oriented Architecture (SOA) to achieve service
Oriented Cloud computing

Big Data Architect Resume Examples & Samples

Experience with the design and development of multiple object
Oriented systems
Experience with extending Free and Open-source Software (FOSS) or COTS products
Ability to show flexibility, initiative, and innovation when dealing with ambiguous and Fast-paced situations

100

Big Data Architect Resume Examples & Samples

Experienced with data modeling, design patterns, building highly scalable and secured solutions
Experience with Big Data migrations or IT transformations, with architecting or operating solutions build on MS Azure, IBM Cloud, Salesforce, etc
Experience in data warehouse or database architecture and ideally within a startup or startup like working environment
Excellent communication and presentation skills with a high degree of comfort in speaking with senior executives at large companies
Strong analytical and problem-solving skills paired with the ability to develop creative and efficient solutions
Tolerance in dealing with bad quality data
Ability to work at an abstract level and gain consensus; excellent interpersonal, leadership and communication skills

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Big Data Architect Resume Examples & Samples

Design, Administration, management, and tuning of Hadoop environment
Collaborate with the infrastructure team to coordinate OS-level patching and to identify and solve hardware related issues
Cluster & Node Maintenance, Health Checks, Automation of Job Monitoring by creating alerts
Assist development team in identifying the root cause of slow performing jobs / queries (HDFS)
Capacity Planning / Forecasting
Develop strategy to automate management and deployment processes (DevOps)
Deploying and managing all Hadoop platform components
Planning and conducting platform upgrades
Work with development staff to ensure all components are ready for release / deployment
Collaborate with Project Managers, Developers and business staff to develop products & services
Participate in managing and maintaining the product on an on-going basis
Bachelors engineering degree from a reputed university with 6-8 years of min experience in the big data field
Strong Experience in the Cloudera distribution
Strong UNIX/Linux knowledge including the ability to understand the interaction between applications and the operating system
Ability to provide recommendations and suggestions related to troubleshooting and performance improvement
Experience designing and administering a reasonably-sized Hadoop cluster (100+ nodes)
Experience in running, using and troubleshooting the Apache Big Data stack i.e. Hadoop FS, Hive, HBase, Kafka, Pig, Oozie, Yarn, Sqoop, Flume etc
Ability to create infrastructure capacity plans based on quantitative and qualitative data points
Experience with implementing and managing security for a multitenancy environment,
Familiarity with networking stack from TCP/IP and up
Good work ethics with extremely high standard of code quality, system reliability, and performance
Experience processing large amounts of structured and unstructured data with MapReduce
Experience with data movement and transformation technologies
Experience with tuning and troubleshooting JVM environment
Experience with data virtualization using Presto-DB or JBOSS Tied or any other similar technologies
Experience in SQL and Relation Database developing data extraction applications

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Big Data Architect Resume Examples & Samples

Using Big Data technology and customer’s business requirements design and document a comprehensive technical architecture
Analysis and documentation of source system data sources from traditional (RDBMS) and new data sources (web, machine-to-machine, geospatial, etc.)
Using business SLAs and a technical architecture calculate performance and volumetric requirements for infrastructure components
Design an architecture using cloud and/or virtualization technology
Minimum 3 years’ experience with Hadoop suite of applications
Architecture role will be responsible developing Spark based solutions to support near real-time data ingestion, analytics, and reporting
Minimum 3 years’ experience developing analytic algorithms with two of the following languages; python, java or scala
Candidate should have an awareness of best practices for Apache Spark Development
Apache Spark Development (Spark SQL, Spark Streaming, MLlib, GraphX, Zeppelin, HDFS, YARN, and NoSQL)

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Big Data Architect Resume Examples & Samples

Designing on-prem, cloud, and hybrid Big Data architectures
Physical implementation of big data architectures, e.g. Hadoop clusters
Cloud: AWS, Azure, IaaS, PaaS, SaaS
Platforms: Java, .Net, Open Source
Languages: Python, Java, SQL, C#, Scala
Database & MPP: AWS Redshift + RDS, SQL Server, MySQL, Oracle, Teradata, Netezza, Exadata
DevOps: Docker, Chef, Puppet, CloudFormation
BigData Application Development: MapReduce/YARN, Spark (In-Memory + Streaming), Pig, Hive, HBase, Cassandra, Flume, Mahout, Sqoop, Presto, etc
Hadoop Architectures: EMR, Cloudera, HortonWorks, HDInsight, MapR
Hadoop physical implementation, cluster sizing, performance tuning, and identity & access management
Designing data warehouse/data lake & ETL/ELT data load architectures within Hadoop ecosystem
Streaming applications: Spark Streaming, Kafka, Storm
Designing reporting and/or predictive analytics solutions in Hadoop ecosystem (Tableau, R, etc.)
Agile BI implementation experience preferable
Elastic Search experience preferable
Strong understanding of big data solution architecture and engineering best practices
Proficiency in data modeling and traditional data architectures (SQL, OTLP, OLAP, etc.)
5-10 years in software engineering roles
2+ years as technical lead or solution architect for big data and/or cloud solutions

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Big Data Architect, Senior Resume Examples & Samples

6+ years of experience with distributed scalable Big Data store or NoSQL, including Accumulo, Cloudbase, HBase, or Big Table
Experience in MapReduce programming with Apache Hadoop and Hadoop Distributed File System (HDFS) and with processing large data stores
Experience with the design and development of multiple object–oriented systems

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Big Data Architect, Mid Resume Examples & Samples

Experience with extending Free and Open–Source Software (FOSS) or COTS products
Ability to show flexibility, initiative, and innovation when dealing with ambiguous and fast–paced situations
Experience with Apache Solr or Hadoop
Experience with R or Python
Experience with designing and developing automated analytic software, techniques, and algorithms

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Lead Big Data Architect Resume Examples & Samples

Acting as a lead architect, work with business and technology cast members to engineer and estimate information solutions that support desired business and technical capabilities / requirements
Support the Information Management Reference Architecture and ensure the alignment of solutioning and delivery activities against the Reference Architecture
Proven ability to leverage and integrate technology components into an overall solution architecture in support of business requirements
Demonstrate knowledge of Data Architecture, Data Warehousing, Advanced Analytic, or Data Science implementations
Demonstrated product and delivery experience across all tiers in the solutioning of information management solutions – from data sourcing to end-state delivery / consumption
Professional written and verbal communication skills
3 years of relevant experience in solutioning using Cloud and Big Data technologies and techniques
7 years of relevant experience in Very Large Data Warehousing and/or Advanced Analytics using massively parallel (MPP) database platforms (such as Teradata, Netezza, Exadata, etc)
5 or more years of relevant experience in the solution architecture and implementation oversight of data-intensive solutions
4 years of relevant experience with ETL/ELT data-integration or data movement platforms such as Informatica, Talend, NiFi, etc a plus

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Big Data Architect Resume Examples & Samples

Install and Configure Cloudera
Setting up of Ecosystem
Developing solutions and applications to load data
Setup monitoring on Cloudera Platform
Setup Impala ,create Impala tables and develop scripts for data ingest
Overall experience of 10 years
5 years’ Experience in Installing and Configuring Cloudera
3 years’ Experience in Healthcare
Hands-on experience in MongoDB and Hadoop
Develop Analytical queries to be run in Impala, Hive
Develop Map-reduce programs
Schedule OOZIE jobs
Design Oozie workflows
Develop Data archival and analysis scripts

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Big Data Architect Resume Examples & Samples

3+ years’ experience in building enterprise solutions
Sound understanding of Hadoop and ecosystem tools like MapReduce, Hive, Pig, Sqoop, Impala, YARN, Spark, etc
Experience to manage technical staff, on-shore and off-shore
Knowledge of data exploration and business intelligence tools like Spotfire, Tableau for Big Data
Excellent core Java development experience
Interacting with Data Scientists and Data Stewards to understand data needs
Excellent communication skills to engage with senior management, internal customers, product management
Sound understanding of regulations and security requirements governing access to data in Big Data systems
Sound understanding of Insight delivery systems for batch and online
Should be able to run Agile Scrum based projects

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Big Data Architect Resume Examples & Samples

Experience with R, SQL, Hadoop, and Python
Knowledge of data cleaning, information extraction, and predictive analysis of large data sets
Knowledge of using cluster and regression models
Ability to design and implement data analytics and data visualization

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Big Data Architect Resume Examples & Samples

Master's Degree or PhD in Computer Science, Engineering, Technical Science or similar
Experience in building and implementing architecture roadmaps for next generation enterprise data and analytics solutions
Experience in designing, building and operationalizing production-grade Big Data solutions using modern data technologies such as Hadoop or NoSQL databases
Experience with open source eco-system components such as Apache Spark, Apache Flume, Apache Oozie, Apache Hive, Apache Drill, Apache Kylin, Apache Flink, Apache HBase, Apache Cassandra, Apache Kafka
Hands-on coding experience in one or more of: Scala, Java or Python
Strong interest in growing your own technology skills
Experience in architecting large scale Hadoop/NoSQL operational environments for production deployments
Understanding of traditional ETL tools, RDBMS, SQL
Understanding of metadata management with Hadoop and NoSQL data in a hybrid environment
Experience in large scale cloud data solutions using platforms such as AWS, Azure or Google Cloud Platform
Experience in re-architecting and rationalizing traditional data environments with Hadoop or NoSQL technologies
Knowledge of enterprise security frameworks and tools
Experience with resource management frameworks such as Docker and/or Mesos
Related certifications such as TOGAF

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Big Data Architect Resume Examples & Samples

Extensive experience with Adobe SiteCatalyst required
Demonstrated experience managing a team of technically advanced analytical professionals in the area of web analytics
Experience managing an A/B testing program and working with database-driven sites and content management tools
Experience in relevant site analytics, site development, and or site merchandising experience
Ability to communicate with both business and technical resources, particularly the skill of expressing complex issues with clarity & simplicity
Flexible and responsive; able to perform in a fast paced, dynamic work environment and meet aggressive deadlines
Open to idea exploration with strong problem-solving/analytical abilities
Leadership and supervisory skills
Possess executive-level communication and presentation skills
Demonstrated strength in creating partnerships and in building relationships with other functions and associates within the organization

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Big Data Architect Resume Examples & Samples

Maintain, expand and optimize big-data software environments containing Hadoop, NoSQL, Hive, HBase, Sqoop and other ecosystem tools
Work closely with business, engineering and data science teams on architecting and deploying new big data solutions
Develop big-data configurations, architectural diagrams, and proposals as needed
Provide integration with analytical tools such as R, Mahout and Mllib
Stay current with new development in big data (e.g. Spark, Shark) and propose enhancements to the big data stack
At least 5 years of work experience in various phases of Software Development Life Cycle
Experience in managing complex, distributed systems
Experience with major Hadoop distribution systems
Experience with ingest tools such as Sqoop and flume, as well as ETL and data normalization
Understanding of Columnar and NoSQL Databases such as HBase, Vertica, and MongoDB
Strong system administration skills with Linux
Strong troubleshooting and performance tuning skills (TCP/IP, storage, security, etc)
Understanding of common system monitoring tools

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Big Data Architect Resume Examples & Samples

10 to 14 yrs of experience including 5 to 7 yrs in big data ecosystem
Proven track record of architecting and building large scale , distributed big data solutions
Experience in refactoring and re-engineering of enterprise systems
Strong background in Big data technology stack – Hadoop, Nosql, Spark, Scala, real time streaming technologies and host of big data open source stack
Experience with Enterprise Java and web application Design
Strong programming and design skills

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Big Data Architect Resume Examples & Samples

5-8 years of related experience
1-3 years of experience architecting Big Data Solutions
Experience with Hadoop and other Industry BigData Frameworks
Industry vertical application for Big Data/Analytics
Intermediate knowledge of knowledge of database concepts, methodologies, and architectural approaches. SQL and Oracle(preferred)
Extensive knowledge of knowledge of database systems and administration, including security, development and testing support, modeling and logical design, database design, and qualify control
Intermediate knowledge of logical and physical data modeling and data modeling tools
Expert in complex SQL statements, Microsoft Access, SQL databases, VB programming language, Excel, Data Warehousing, ETL and possibly Crystal Reports. Proficient in Microsoft Office products (Word, PowerPoint, and Project)
Knowledge of Business Objects, Crystal Reports, SSRS and/or Cognos is preferred
Extensive knowledge of Oracle ETL, replication, change data capture and other data integration techniques and technologies. Experience with Microsoft SQL Server 2008 Suite of tools (SQL SMS, SSIS, SSRS, SQL Server BI Studio, etc) helpful but not required
Ability to work effectively in a team environment. Excellent verbal and written communication skills required
Bachelor's Degree in MIS, Computer Science or related field preferred
Please note the following
This is a W2 position
This position is not available for Corp-to-Corp
This position is not available for Associate Vendors

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Lead Big Data Architect Resume Examples & Samples

Understand and constantly monitor the vast big data ecosystem
Act as a trusted advisor to clients during the sales process including exploration discussions, deal formulation, team selection, and project launch
Provide technical consultation and education to the business development team and actively support responding to client requests for proposals or SOWs
Identify customer needs and requirements on a detailed level and consequently matching those back to proposed services or solutions
Understand all elements of a client's technical computing environment
Assist clients with trouble-shooting of existing solutions related to performance, scalability, maintenance, or cost of ownership
Attend industry conferences and perform hands on evaluations of new products/services
Excellent client prospect and partner presentation skills
Account management and project management experience
Good communication, client service, and relationship building skills
Ability to document, explain, and present complex architectures
Deep experience with enterprise scale distributed NoSQL solutions such as HBase, Cassandra, MongoDB, etc
Deep experience with various cloud big data services such as Azure, AWS, Altiscale, Google Cloud, etc
Experience with Docker and related patterns of deployment is preferred
Deep experience with a wide variety of common BI tools and emerging tools such as Platfora, DataMeer, Alteryx, etc
Deep experience with data science enabling technologies such as R, Mahout
Deep experience using and developing solutions utilizing the Hadoop ecosystem such Hadoop, Spark, Hive, Pig, Sqoop, Oozie, Ambari, HCatalog, Zookeeper, Flume, Storm, Kafka
Strong understanding of network configuration, devices, protocols, storage technology, data center processes, Linux, LDAP/Kerberos, etc

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Principal Big Data Architect Resume Examples & Samples

Design and implement scalable Big Data architecture solutions for various application needs
Analyze multiple sources of structured and unstructured data to propose and design data architecture solutions for scalability, high availability, fault tolerance, and elasticity
Develop conceptual, logical and physical design for various data types and large volumes
Implement some or all of the Big Data systems in distributed cloud environments
Implement security, encryption best practices for Big Data environments
Architect, design and implement high performance large volume data integration processes, database, storage, and other back-end services in fully virtualized environments
Collaborate with customer teams to formulate the problem, recommend a solution approach and design a data architecture
Work closely with the product management and development teams to rapidly translate the understanding of customer data and requirements to product and solutions
Participate in Rapid Application Development and Agile processes to deliver new cloud platform services and components
Prototypes and POCs
5+ years - Data Integration design and implementation
3+ years - Large Scale Solution Architect ,Design skills in Big Data, ETL Platform
3+ years - Big Data/AWS/Azure cloud implementation
Experience in Insurance industry a plus
10+ years of experience as a technology leader designing and developing data architecture solutions with more than 3+ years specializing in big data architecture or data analytics
Strong, in-depth experience in data modeling and experience with business intelligence systems (dimensional modeling, data mining, predictive analytics)
Knowledge and experience with Big Data technologies such as Hadoop, NoSQL and Map-Reduce and other Industry BigData Frameworks
Broad based architecture acumen: Database architecture, ETL, SOA, Cloud, etc
Comfortable in multi-terabyte production environments
Highly proficient with large data sets and clusters

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Senior IT Big Data Architect Resume Examples & Samples

Minimum 15 years Technology experience with 7+ years streaming media expertise
Broad, common video codec experience
Experience with CDN architectures, hyper scale media ingestion and delivery platforms
Extensive technical knowledge across multiple technology areas including: Hadoop, Kafka, Spark, Python, Java platform, .Net framework, infrastructure architectures, storage, networking
Data science background or experience with media analytics preferred
Mature public speaking skills & C-Level communication expertise
Knowledge on how to support very large data media environments with real time requirements
Ability to concentrate and pay close attention to detail and think broadly with a system orientation
Great team player

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Principal Big Data Architect Resume Examples & Samples

Demonstrate foundational technical and thought leadership in advanced technologies which includes data: access, integration, modeling, discovery and visualization for our >$1B business
Assess and implement the proper role for machine learning our Big Data solution
Provide leadership in establishing analytic environments required for structured, semi-structured and unstructured data
Define and lead the realization of the data strategy roadmap for our Collaboration portfolio; including data modeling, implementation and data management

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Junior Big Data Architect Resume Examples & Samples

Bachelor's degree and at least 1 year of technology consulting or other relevant industry experience
Experience crafting written communications that are clear, succinct and audience appropriate
Must have 1 year of Greenplum, HIVE, or PostgreSQL experience
Must be able to pass a federal background check
Experience in Data Visualization

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Big Data Architect Resume Examples & Samples

Lead definition and socialization of end to end big data enablement solution architecture
Engage in direct discussions with senior client architecture executives
Guide development, coaching and leadership through all project phases
At least 8 years of experience in data architecture
At least 5 year of experience in the distributed cluster environment

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Big Data Architect Resume Examples & Samples

Define client Big Data strategy, including designing multi-phased implementation roadmaps
Work independently, or as part of a team, to design and develop Big Data solutions
Data wrangling of heterogeneous data, exploration and discovery of new insights
Analysis, architecture, design, and development of data warehouse and business intelligence solutions
Actively contribute to the Slalom Modern Data Architecture community
Assist business development teams with pre-sales activities and RFPs
Participate in project estimations and planning
Proficiency in SQL, NoSQL, and relational database design and development
Proven experience with data warehousing and data modeling, specifically building/understanding star schema–based data marts
Strong verbal and written communication skills; strong time-management and organizational skills
Ability to work in a fast-paced environment

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Senior Big Data Architect Resume Examples & Samples

5+ years strong experience in database and data warehousing concepts and techniques. Must understand: relational and dimensional modeling, star/snowflake schema design, BI, Data Warehouse operating environments and related technologies, ETL, MDM, and data governance practices
5+ years experience working in Linux
3+ years experience with Hadoop, Hive, Impala, HBase, and related technologies
2+ years strong experience with low latency (near real time) systems and working with Tb data sets, loading and processing billions of records per day
1+ years’ experience with MapReduce/YARN
2+ years’ experience with Spark
1+ years experience with Lambda architectures
1+ years experience with MPP, shared nothing database systems, and NoSQL systems

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Big Data Architect Resume Examples & Samples

Bachelor’s degree in Computer Science, Engineering, Information Systems or similar field of study required
10+ years of experience around Information Management architecture, Data Warehouse and Big Data technologies
10+ years of experience developing Data Integration solutions and various design patterns which include, but are not limited to Batch and Streaming ETL, Publish & Subscribe, SOA, and Data Replications
Experience is SQL, Scripting languages (preferably python), and Object Oriented languages (preferably Java)
Experienced in architecting Big Data applications using Hadoop technologies which include but are not limited to Hive, Spark, Pig, and Flume
Experienced with data integration frameworks and design patterns like EAI, ETL, Publish and Subscribe, SOA
Expert knowledge on Hadoop, RDBMS and NoSQL Database technologies
Expert knowledge on Apache Spark, Hive, Flume, Sqoop, Kafka, Pig and Oozie
Excellent interpersonal, written, and verbal communication skills, with the ability to interface effectively with individuals at various levels, both internal and external
Strong problem-solving abilities and creative resolution skills
Self-motivated, with the ability to work on multiple projects in a fast-paced environment
Ability to remain organized, pay strict attention to detail, and meet critical deadlines within a high volume, fast-paced environment
Excellent analytic skills with the ability to use key tools to dive deep and provide analysis consistently on performance metrics
Strong Microsoft Office program experience, including Excel, Word and PowerPoint

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Equity Finance Big Data Architect Resume Examples & Samples

Lead and develop the team and the big data platform
Design NoSQL Data models for sub milliseconds queries and to store data in most space efficient way
Production support of live data pipelines
Writing usable code with minimum supervision. Doesn’t write a single line of code without a unit test
In depth knowledge of Java 8
In depth knowledge of OO and SOLID design principles
Demonstrable experience of successfully delivering big data projects using Cassandra, Lucene/Solr, and Kafka
Able to tune big data solutions to improve performance
Experience with Oracle, Sybase databases
Performance and monitoring tools
Working experience with Hadoop based technologies such as HBase, Spark, Hive/Pig and Phoenix is plus
Experience with HTML5, React, Nodejs is plus
Knowledge of BI and Visualization tools such QlikView is plus
Clojure knowledge would be great

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Big Data Architect Resume Examples & Samples

Responsible for End-to-end Architecture of Optum's Big Data Platform solution to enable the "Next Generation" capabilities
Review and govern to confirm big data technologies are being leveraged effectively in Big Data solutions
Provide consulting services to Key Business Programs and Enterprise Initiatives that want to leverage "Big Data"
Big Data Art of Possible Demos / Road Show to showcase next generation Big Data capabilities
Influencing Enterprise Decisions around alignment of Big Data Capabilities to Future Business Initiatives
Publish architectural references and Big Data best practices on internal CoP forums
12+ years in the IT profession working with data and data management technologies
3+ years of experience setting & delivering against long-term, strategic technology roadmaps
2+ years of working hands on with Big Data technologies including the Hadoop ecosystem and NoSQL
5+ years of experience creating Data Marts / Data Warehouse architectures
1+ years of experience delivering against long-term, strategic technology roadmaps

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Big Data Architect Resume Examples & Samples

Designing and implementing complex scalable statistical models such as but not limited to Recommendation and Classification models. Working with Data Scientists to convert R models to Scalable SparkR jobs
Minimum 2 years experience Architecting and Delivering Solutions on the Hadoop platform
Minimum of 1.5 years experience working with Apache Spark
Minimum 1 year experience with AWS
Minimum 2 years experience programming in Scala
Expert in SQL, Python, Java, and Scala
Expert in Apache Spark, Hive
Expert problem solver with significant experience troubleshooting data-related issues
Experience using Sqoop, Kafka, Flume, Oozie, HBase, and Apache Phoenix
Experience using Git or SVN and Jira
Experience using AWS
Experience integrating external APIs
Ability to work independently or collaboratively
Detail oriented with strong organization and prioritization skills
Familiarity with Machine Learning, Recommendation systems, logistic regression, svm, and K-means clustering
Familiarity with ElasticSearch and Kibana
Entertainment and/or Social Media experience a plus
Demonstrated ability to make decisions in technology selection and implementation approach based on long-term strategic objectives, while taking into consideration short-term implications for ongoing or planned implementations
Demonstrated ability to apply technology in solving business problems and proven ability to communicate with both technical and non-technical audiences
Demonstrated ability to work well under time constraints
Demonstrated ability to handle multiple tasks with changing priorities, communicating changes in scope and schedule to all parties concerned
In-depth knowledge of software development technology, principles, methods, tools, and practices and industry standards and trends in Big Data space
Must be service-oriented
Must be able to work flexible hours, including possible overtime, when necessary
Must be able to maintain confidentiality
Management has the right to add or change duties and job requirements at any time

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Big Data Architect With Experience Resume Examples & Samples

Experience with IBM Big SQL, Hive and HBase
Knowledge/certification in Spark
Experience with trouble shooting IBM BI 4.x on Cloud

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Big Data Architect Resume Examples & Samples

Design / Architect / Solution / Performance Tuning for multiple users for the entire lifecycle until project implementation
Strong data and information management foundations
Proven track record and experience in handling large scale distributed processing
Good appreciation of large scale database technologies and complex batch processing workloads
Hadoop Architect with at least 1.5 years of implementation experience in any one of the Hadoop distribution with its ecosystem
Hadoop Experience including ELK Stack/Elasticsearch and JS
Knowledge on Cluster sizing and Infrastucture planning
Should be able to guide / partner with VP / Directors for architecting solutions for the Big Data Organization
Develop and implement adoption roadmaps and build value realization use cases for CxO level connects
Experience in Data consolidation similar to Data Lake architecture implementation, Data Governance and Metadata Management in Big Data space would be a plus
Experience working with clusters/grids preferred in MapR (e.g., Hadoop, and/or Linux cluster job schedulers)
Layout to fundamental framework on Big Data integration (including the engagement process etc. and to be front-ending all the Big Data related discussions)
Bachelor degree in Computer Science or related technological degree

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Big Data Architect Resume Examples & Samples

Research, recommend and champion technology solutions for the enterprise Data Lake ecosystem
Serve as the lead architect and expert for big data platform architecture and solutions
Envision solution architecture and advises as to how technologies can be exploited to improve the performance of the entire technology landscape
Understand and apply industry best practices, including business process models, information assets, business terms, conceptual and logical data models, and data lineage
Design scalable Big Data architecture solutions for various application needs
Drive solution based on tools and technologies available within the enterprise data & analytics ecosystem
Provide breadth and depth of knowledge across heterogeneous data environment
Work closely with customers, at a technical and user level, to design and produce solutions
Deliver consulting services with a high degree of client and account team satisfaction
Responsible for ensuring the architecture design from the source systems will meet the needs of the BI solution
Spend about 60% of your time on research, presentations and recommendations and about 40% with outside BI enterprise architects getting an understanding of the other business applications across domains
10+ years implementation experience with demonstrated integration expertise in several business and technical verticals
8+ years of experience in software development / engineering, including requirements analysis, software development, installation, integration, evaluation, enhancement, maintenance, testing, and problem diagnosis/resolution
5+ years of experience as Big Data Architect Expertise building Big Data solutions (using Hadoop technologies)
Expertise with MPP DBs & exposure to DWH (Mandatorily) & knowledge dimensional modeling techniques
Business processes and enterprise business applications experience across domains
5 years Hadoop
5 years Big Data

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Big Data Architect Resume Examples & Samples

Design and develop data ingestion, aggregation, integration and advanced analytics in Hadoop
Define development standards and design patterns to process and store high volume data sets
Multidisciplinary work supporting real time streams, ETL pipelines, data warehouses and reporting services
Build scalable, efficient and high performance pipelines and workflows that are capable of processing billions of events and real-time data
Integrate Big Data tools into traditional enterprise architectures
Develop automated unit tests and integration tests for your code, as well as review the code of others to ensure quality. Establish sound coding and testing practices to ensure quality software builds
Bring new and innovative solutions to the table to resolve challenging software issues as needed throughout the project life cycle
Prefer 15+ years of Data Warehousing experience
1 year of working in a large Data Environment

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Informatica Big Data Architect Resume Examples & Samples

Strong interpersonal skills and good judgment with an approachable communication style
Ability to work in a fast-paced environment and consistently meet internal and external deadlines
Proficiency communicating with clients, partners and colleagues from other cultures and regions
Solid understanding of Hadoop architecture and components, and popular additions such as HIVE and Spark
Hands on experience with at least one leading Hadoop distribution system such as Hortonworks or Cloudera
Comprehensive development/deployment experience in Big Data projects including strategy development, install and config, sizing and performance and mapping development
Strong background in data integration technologies and databases such as ETL, light database maintenance, Oracle and SQL
Established consulting background. Must have proficient soft skills and be able to present, manage meetings, and communicate clearly and concisely at all levels within an organisation
Experience with Informatica Big Data Management tooling a strong plus
Experience with other Informatica products such as PowerCenter, PowerExchange, and Informatica Data Explorer a plus
Experience with development in procedural languages such as java a plus
Experience with Infrastructure maintenance and deployment both on premise and Cloud a plus
Willingness to travel up to 75 percent of the time

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Lead Big Data Architect Resume Examples & Samples

Perform program reviews to ensure that data design elements are reusable and repeatable across projects
Define and develop guidelines, standards, and processes to ensure the highest data quality and integrity in the data stores residing on the data lake
Work closely with SBG engineers and product managers to understand their data requirements for existing and future projects on data analytics applications
Work with IT and data owners to understand the types of data collected in various databases and data warehouses
Provide guidance/mentor data engineering team
Possess hands-on technical experience in big data technologies
Ability to execute projects using an agile approach in a multi-disciplinary, matrixed environment
Enjoys exploring and learning new technologies

133

Big Data Architect Resume Examples & Samples

Plan and establish Hadoop technology standards and usage frameworks within the BI Department
Work closely with the Infrastructure team to define the hardware procurement and upgrade roadmap
Work in concert with a team of ETL developers to ensure efficient and accurate data transfer within the entire EDW echo system with Big Data Platforms
Build and optimize information models, physical data layouts, configuration, optimization and monitoring of RDBMS and Hadoop environments and improve overall processing efficiencies to support the needs of the business
Experience in building Business Intelligence platforms in an enterprise environment. Data integration (batch, micro-batches, real-time data streaming) across Hadoop, RDMSs, and Data warehousing
Responsible for driving innovations and developing proofs-of-concept and prototypes to help illustrate approaches to technology and business problems
All other duties as assigned at management's discretion
A Bachelors-level degree in computer science, information technology, engineering or related field is required
Minimum of 8-10 years enterprise IT application experience, including at least 3 years of architecting strategic, scalable BI, Big Data solutions, and data warehousing
Hands-on experience with related scripting and programming languages (e.g. Java, Scala, Linux, Apache, Perl/Python) and analytics tools (e.g. search and text analytics, SAS, R, BI tools)

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Cloudera Big Data Architect Resume Examples & Samples

Experience on at least 1 end-to-end implementation on data warehouse environment on Cloudera
Experience on at least 2 end-to-end implementation on data warehouse environment on any big data environment
Experience managing minimum billions of transactions per day in live big data environment
Experience with HDFS, Hive, Impala, Spark, Sqoop, Kerberos security setup, directory administration
Experience with SFDC, TIBCO, MuleSoft, Azure integration will be plus
Real-time data ingestion/delivery experience

135

Big Data Architect Resume Examples & Samples

Lead the design and development of big data and analytics for Movimento Unified OTA platform
Perform all development with adequate requirements and technical analysis as appropriate
Define and implement development best practices including secure coding, adequate unit testing, code quality checks, automated build processes, and continuous integration
Provide solution models and perform code and design reviews to align with architecture direction
Document system designs, development processes, and functions to improve knowledge management and information sharing
Coordinate and manage development activities with outsourcing team

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Senior Big Data Architect Resume Examples & Samples

Provide technical guidance for real time data pipeline and analytic frameworks
Work on enhancing and maintaining existing analytic framework and real time data pipelines
Mentor junior team members across all level of the big data technology stack
Expert knowledge of hadoop components such as spark streaming, hdfs, hbase, yarn, hive and impala
Experience in security implementation across entire hadoop stack
Good understanding of streaming technologies and real time analytics
Hands on programming experience with Java/Scala/C++/Python as well as shell scripts and SQL
Ability to learn quickly in a fast-paced, dynamic team environment
Highly effective communication and collaboration skill
Required MS Degree in Computer Science or equivalent experience
7 years + of overall experience with at least 2 in big data / data science positions

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Big Data Architect Lead Resume Examples & Samples

Establishes systems to monitor the operating efficiency of existing application systems and provides (or arranges for) proactive maintenance
Demonstrates a broad understanding of the applications and technical architectures
Serves as a technical expert on existing applications supporting the business area, along with other inter-related / adjacent systems and applications
Can design systems/applications with high level of complexity (e.g. many interfaces, multiple packages, platforms)
Evaluates the applicability of leading edge technologies and uses this information to significantly influence future business strategies for the area(s) supported
Brings technical and/or business systems knowledge from external sources and incorporates those ideas into IT
Acts as a technology mentor to team members
Assesses customer requests, and any other changes to business solutions, in terms of their costs and benefits to the business, and their broader impact on Macy’s. Maintains an enterprise wide perspective in supporting their customer area(s), seeking solutions that optimally support the enterprise
Consults to customers / business analysts on the broader economic impact of proposed technical solutions, working with the customers, business analysts and other MST colleagues as appropriate to develop a solution that strikes an optimal balance between performance, customer service, and cost management
Understands changing business needs for supported area and recommends strategies for the future
Builds and maintains up-to-date knowledge about company and industry trends and strategy, and advises customers on approaches to optimize business success
Independently identifies, defines, directs, and performs analyses to resolve complex first-time project issues including the analysis of technical and economic feasibility of proposed systems solutions
Designs projects with broad implications and significant risk for the business and/or the future architecture, delivering innovative changes and successfully addressing cross-technology and cross-platform issues
Can analyze complex business and competitive issues and discern their implications for systems support
Manages the development phase of large work type 2 and work type 3 projects, or acts as a key technical advisor to project teams, consulting on design issues and providing special technical expertise
Participates in the development of RFPs, RFIs
Provides input into the make-up of the project team for projects they lead or consult on
Manages any vendors necessary to complete the project(s)
5 years experience with Big Data, including SQL Server and Hadoop Technologies
5 years experience and ability to train business or technical resources on BI tools, including SharePoint Services, Power BI, Tableau or other analytical tools
5 years proven experience on Analytical data modelling, ETL processing, data balancing, and agile, quick data movement for business analytics/decision making
Ability to stay connected with industry standards / best methods and lead Big Data technical solutions - in a fast changing technical environment
Ability to work well with all levels, all roles, technical and non-technical. Ability to drive change, teach and mentor others
Business Intelligence, Hadoop, Big SQL, Flume, Spark, Data Modelling

138

Big Data Architect & Developer Resume Examples & Samples

Work with all phases of SDL, including system analysis, design, coding, test automation framework, debugging and documentation
Work in an Agile development environment using tools such as JIRA, Confluence, and GIT
Perform analysis and monitor system effectiveness and translate analysis into system recommendations
Review market trends on big data and recommend latest improvements to the business models
An interest in following all security market trends and new technologies
Strong ability to handle multiple tasks simultaneously

139

Big Data Architect Resume Examples & Samples

Own and aggressively drive forward specific areas of Big Data
Drive common vision, practices and capabilities across teams
Experience in Data Queue and Transactional management using tools like Kafka and ZooKeeper
Experience with NoSQL solutions and capacity for understanding Graph, Key Value, Tuple Store, Columnar Memory, and in-memory functionality
4+ years of experience in Large Scale, Fault Tolerance Systems with components of scalability, and high data throughput with tools like Kafka, Storm, Flink, and Spark, and NoSQL platforms such as HBase and DataStax
3+ years of experience in building and managing hosted big data architecture, toolkit familiarity in: Hadoop with Oozie, Sqoop, Pig, Hive, Flume, HBase, Avro, HBase, Parquet, Storm, Spark, NiFi
3+ years of experience in Data Queue and Transactional management using tools like Kafka and ZooKeeper
3+ years of experience with TFS/JIRA/GitHub and other code management toolsets
4+ years of experience with NoSQL solutions and capacity for understanding Graph, Key Value, Tuple Store, Columnar Memory, and in-memory functionality
Operations support with a solid understanding of release, incident, and change management
Hands-on familiarity in Data Analytical solution like ML model construction (Supervised/Unsupervised Learning and Natural Language Processing)
Ability to work as a collaborative team, mentoring and training the junior team members

140

Big Data Architect Resume Examples & Samples

Designing applications in line with solution and enterprise architectures including high volume payments platforms
Engaging with customer enterprise and solution architects to elicit solution requirements and outcomes
Working with vendors and development communities to incubate on new ideas and promote adoption
Assist solution designers and developers to minimize debt and refactoring
Ability to understand business requirement for Data Lake Creation and Business value outcome
Ability to derive / present insights to customer Sr. stakeholders
Ability to guide the team in order to deliver milestones agreed with client

141

Big Data Architect Resume Examples & Samples

Establish best practices for big data platforms that are scalable, enterprise data solutions and ensure that sound methods are used for quality assurance
Develop best practices for knowledge and data discovery to deliver impactful data-driven decision support systems, while leading big data engineers to technical success by understanding andapplying best practices
Take ownership of defining best practices for change management, source control and deployment methodologies for big data solutions
Set and lead standards discussions among Big Data Engineers, Data Scientists and other Data Engineers across IT
Promote best practices, guide the team to follow them, and collect and incorporate feedback based on team experiences to improve practices

142

Big Data Architect Resume Examples & Samples

Provide guidance and platform selection advice for common Big Data (Distributed) platforms, including Hadoop, Cassandra, Mongo, Elastic, and others
Design data flow and processing pipelines for ingestion and analysis using modern toolsets such as Spark on Scala, Storm, Flume, Sqoop, and others
Design data structures for ingestion and reporting, specific to use case and technology
Provide data management expertise to our clients in evaluating requirements and developing data architecture and performing platform selection and design. Data management includes appropriate structuring, stewardship of data, semantics/syntax of data attributes, coding structures, and mapping schemes
Guide and coach consultants, share best practices, perform code reviews
Coordinate activities with data source application owners to ensure integration with analytics platform and source systems
The ideal candidate will have 5 + years of professional experience and two with Hadoop
Very strong technical knowledge in Hadoop (HDFS, Hive, Spark, Sqoop, cluster tuning)
Understanding of the major feature sets of Hadoop vendors (Cloudera, Hortonworks, MapR, etc)
Experience with other NoSQL platforms, focused on what requirements drive technology choices

143

Big Data Architect Resume Examples & Samples

Provide deep specialist level Big Data Solution Architecture expertise for Sales and Delivery cycles of Big Data and DW technologies
Perform technical QA reviews of Big Data solution including technical architecture, solution design, and resource models
Provide data lake technical thought leadership to innovate and build differentiating assets in the big data space
Enable deeper skill building inside the IOTs by providing highly skilled and experienced practitioner for learnings and coaching of IOTs practitioners in various Hadoop technlogies
Cross business unit collaboration for technology solutions in big data, data as a service, data lakes
Trouble shoot complex technical delivery issues and provide solutions for tough uses cases and technical expertise in the Big Data and Hadoop based technologies
Experience designing end to end Hadoop and Data Lake Solutions across multiple ISV platforms with extensive experience on Cloudera, HortonWorks and Big Insights
Strong understanding data lake approaches, industry standards and industry best practices
Experience with detail level architecting of HADOOP based data ecosystem including migrating from traditional data warehouses and leveraging the data lake for gathering insights from social media and external data streams
Minimum of 2 years experience in the Hadoop technologies with more than 8 years in the data warehouse, analytics, data management and data integration space
Experience working with IOT solution on cloud based data ecosystems
Knowledge of Artificial Intelligence, Machine Learning and Natural Language Processing will be a big plus
Minimum of 1 year of experience with one or more of these skills: HDFS, HBase, HIVE, PIG, Java/C++, SQL, Linux, Cassandra and equivalents and Kafka is a plus
Knowledge of data streaming technologies and runtime deployment of predictive and cognitive modeling services will be a big plus

144

Big Data Architect Resume Examples & Samples

Candidates must have a bachelor’s degree in Computer Science or related field. Masters degree preferred
Proven experience in a Big Data environment
Demonstrable experience in OO design and development role on a medium to large, enterprise-scale software program
Hands-on leadership of Big Data project design and implementation
Candidates must be able to demonstrate experience in the following

145

Big Data Architect Resume Examples & Samples

Must have firm understanding of database systems – Data modeling, SQL query Processing and Transactions Know how to scale systems and make them fast!
Experience debugging and tracing SQL performance issues
Large scale DW, MPP, Redshift, or similar technologies

146

Big Data Architect Resume Examples & Samples

Solutions - Deliver on-site technical engagements with partners and customers. This includes participating in pre-sales on-site visits, understanding customer requirements, creating consulting proposals and creating packaged Big Data service offerings
Delivery - Engagements include short on-site projects proving the use of AWS services to support new distributed computing solutions that often span private cloud and public cloud services. Engagements will include migration of existing applications and development of new applications using AWS cloud services
Deep understanding an implementation experience of database and analytical technologies in the industry including MPP databases, noSQL storage, Data Warehouse design, BI reporting and Dashboard development
Customer facing skills to represent AWS well within the customer’s environment and drive discussions with senior personnel regarding trade-offs, best practices, project management and risk mitigation

147

Big Data Architect Resume Examples & Samples

Provides technical leadership in BigData space (Hadoop Stack like M/R, HDFS, Pig, Hive, HBase, Flume, Sqoop, etc..NoSQL stores like Cassandra, HBase etc)
Evaluate and recommend Big Data technology stack for the platform
Passionate for continuous learning, experimenting, applying and contributing towards cutting edge open source technologies and software paradigms
Provides strong technical leadership in adopting and contributing to open source technologies related to BigData
Provide strong technical expertise (performance, application design, stack upgrades) to lead Platform Engineering
Defines and Drives best practices that can be adopted in BigData stack
Drives operational excellence through root cause analysis and continuous improvement for BigData technologies and processes
Provide technical leadership and be a role model to data engineers
Provide/inspire innovations that fuel the growth of Fractal as a whole
Java expertise
Linux environment and shell scripting
Distributed computing frameworks (Hadoop or Spark)
Cloud computing platforms (AWS and Azure)
Distributed and low latency (streaming) application architecture

148

Global Big Data Architect Resume Examples & Samples

5+ years’ experience of IT platform implementation in a highly technical and analytical role
AWS Experience
Demonstrated ability to think strategically about business, product, and technical challenges in an global environment
Implementation and tuning experience for Apache Hadoop + tools such as Pig and Hive

149

Big Data Architect Resume Examples & Samples

Understand complex business requirements and take the lead to design enterprise information architecture solutions in compliance with firm wide data management principles and security controls for Big Data Environment consisting of Hadoop, Greenplum, Hbase, Spark, Kafka, and Impala etc
Analyze data attributes from multiple systems and develop Common Information Models
Maintains the end-to-end vision of the data flow diagram and develop logical data models into one or more physical data repositories
Document logical data integration (ETL) strategies for data flows between disparate source/target systems for structured and unstructured data into common data lake and the enterprise information repositories
Facilitate and maintain enterprise information architecture for unified access to structured and unstructured data across multiple data sources including data warehouse and sensor/machine data
Define processes for the effective, integrated introduction of new data
5+ years of hands on experience in Data Management/Data Architecture/Application architecture/Data Development
5+ years of experience working as an Enterprise Data Architect with current information technologies and ability to implement into the business function
Solid expertise in data technologies; i.e., data warehousing, ETL, MDM, DQ, BI and Analytical Tools Extensive experience in metadata management and data quality processes and tools
Relevant experience implementing data quality and master data management programs Experience in information intensive industries or digitally advanced enterprises

150

Big Data Architect Resume Examples & Samples

Define the strategy & roadmap for analytics and evangelize the vision to the organization
Design, document and lead the implementation of software and systems to help ensure optimal implementation of the enterprise data & analytics technology stack for prescriptive & predictive analytics
Work in conjunction with Infrastructure, Dev Ops, Security and Engineering groups to drive the strategy to provide stable, secure and enterprise-class data-lake and real-time analytics systems
Design highly-available data lake architectures, utilizing IaaS and PaaS, for large scale, mission critical applications and high-performance-computing (HPC) workloads
Provide guidance to the organization in the form of reference architectures, guidance principles, and proof of concept and reference implementations for cloud based data platforms and advance analytics tools and technologies
Work closely with project architects to align the projects’ architectural direction with domain roadmaps, standards and reference architectures
Work with cross-functional departments and delivery teams to ensure that they understand the prescribed direction. Oversee the execution of key architectural initiatives within this domain
Hands-on in the delivery of enterprise data-lake on AWS and the required solutions to meet enterprise analytic and business intelligence needs
Lead design and implementation new capabilities in support of Provide guidance to other developers in the technologies being assessed and used. Assist Management with the training and mentoring of the team members
Collaborate with other teams to address upstream and downstream integration dependencies via services and SLA’s
Demonstrate technical leadership and ability to contribute to establishing the overall solution direction
Be self-starters with the initiative and enthusiasm to learn new tools & technologies within the Hadoop eco system and AWS platform in a quick paced ever-changing environment
Maintain a working knowledge of Asurion's applications and system integration
Lead presenter in Architecture Review Board (ARB) Process
Evaluate and/or lead Product Evaluation Matrix (PEM) development
BS in Computer Science, Engineering, Mathematics, or a related field required
7+ years’ experience in architecture or relevant Technology discipline required, including 4 years software development, system architecture, and/or system administration
Architecture experience in defining the outline for a team-wide development
Knowledge of theory and Principals of project management desired
Knowledge and understanding of Enterprise Architecture practices
Understand DevOps principals and work with the team to implement automation and continuous integration
Experience in designing and developing highly scalable and performant data solutions on Hadoop or Java/J2EE stack
Experience with a variety of Hadoop tools such as Hive, Presto, Flume, Storm, Kafka, and Spark
Knowledge of cloud based solutions and technologies preferably Amazon Web Services
Demonstrated proficiency in one or more of Java, JSP, JavaScript, Python, or NodeJS
Hands on relational database experience (MySQL, Oracle, or SQL Server)
Ability to manage multiple priorities in a quickly changing environment
Experience working within an Agile delivery system
Strong analytical skills with open source solutions

151

Big Data Architect Resume Examples & Samples

Bachelor’s degree or higher in Computer Science or a related field
Good understanding of distributed computing and big data architectures
Passion for software engineering and craftsman-like coding prowess
Proven experience in developing Big Data solutions in Hadoop Ecosystem using Apache NiFi, Kafka, Flume, Sqoop, Apache Atlas, Hive, HDFS, HBase and Spark (Hortonworks HDP and HDF preferred)
Experience with at least one of the leading CDC (Change Data Capture) tools like Informatica PowerCenter
Development experience with at least one NoSQL database. HBase or Cassandra preferred
Polyglot development (4-5 years+): Capable of developing in Java and Scala with good understanding of functional programming, SOLID principles and, concurrency models and modularization
DevOps: Appreciates the CI and CD model and always builds to ease consumption and monitoring of the system. Experience with Maven (or Gradle or SBT) and Git preferred
Experience in Agile development including Scrum and other lean techniques
Should believe in You Build! You Ship! And You Run! Philosophy
Personal qualities such as creativity, tenacity, curiosity, and passion for deep technical excellence
Experience with Big Data migrations/transformations programs in the Data Warehousing and/or Business Intelligence areas
Experience with ETL tools like Talend, Pentaho, Attunity etc
Knowledge of Teradata, Netezza etc
Good grounding in NoSQL data stores such as Cassandra, Neo4j etc
Strong knowledge on computer algorithms
Experience with workload orchestration and automation tools like Oozie, Control-M etc
Experience in building self-contained applications using Docker, Vagrant. Chef

152

Big Data Architect Resume Examples & Samples

Be accountable for developing a comprehensive enterprise data architecture including data lake, data appliance, data warehouse, data movement, analytical, virtualization, visualization, decision science platform, etc. components
Be accountable for defining and explaining best practices and usage patterns across the various components across the data ecosystem
Be accountable for integration solution design and development for integration Hadoop/Spark environments with analytic platforms
4 years of experience in the Hadoop platform (such as Cloudera, Hortonworks, MapR, and/or IBM BigInsights)
5 years of experience in data architecture
1 year of experience in the distributed cluster environment
2 years of experience in use of open source tools such as: Java technology (Hadoop, Scala, Hive, Storm, YARN, etc. - i.e., Hadoop 2.0), Python and/or BASH/CSH scripting
2 years of experience in a consulting environment. \At least 2 years of experience in the following components of the Hadoop ecosystem: Hive, HBase, Spark, Scala, Storm, YARN, Flume, and/or Oozie
5 years of experience in the Hadoop platform (such as Cloudera, Hortonworks, MapR, and/or IBM BigInsights)
7 years of experience in data architecture
3 years of experience in the distributed cluster environment
5 years of experience in use of open source tools such as: Java technology (Hadoop, Scala, Hive, Storm, YARN, etc. - i.e., Hadoop 2.0), Python and/or BASH/CSH scripting
5 years of experience in designing large data warehouses with working knowledge of design techniques such as star schema and snowflake
5 years of experience in the following components of the Hadoop ecosystem: Hive, HBase, Spark, Scala, Storm, YARN, Flume, and/or Oozie
5 years of experience in various information modeling techniques
5 years of experience in a consulting environment
2 years of experience in hands on ETL script development and batch processing

153

Big Data Architect Resume Examples & Samples

Analysis, design, architecture, development and support for various Big Data ecosystem like Spark/Hadoop
Support the development of analytical solutions
Work hand in hand with Data Scientist’s in the use of data and analytical technologies
Support custom solutions built using various technologies such as R, Scala, Python
Subject Matter Expertise in Big Data, Hadoop, and related platforms and technologies
Deep understanding of core Hadoop/Spark components (HDFS, MapReduce, Hive), and substantial awareness of other components in the Big Data stack
Experience in Large Scale, Fault Tolerance Systems with components of scalability, and high data throughput with tools like Kafka, Storm
Strong understanding of the software development life cycle, relational database, client server concepts, and service oriented architectures
Experience with SAP HANA and Vora is a plus
Must have good technical writing skills to develop technical specifications
Upstream Oil & Gas experience required
Ability to manage both onshore & offshore resources

154

Big Data Architect Resume Examples & Samples

Designing enterprise-grade infrastructures for Clients and technically overseeing their planning, evaluation, implementation and evolution
Workshopping with Clients to understand their technologies, business situation and goals
Excellent interpersonal skills with senior stakeholders and technical staff
Strong verbal and written communication, with good exposure to working in a cross-cultural environment and the ability to present comfortably to senior management
Knowledge and experience of data platforms, such as
Relational database systems
Data warehouse or other OLAP systems
NoSQL platforms
Big data platforms such as Hadoop (MapReduce, Pig, Hive, ...), Spark, Storm, Cassandra, HBase, Elasticsearch, Mesos, etc
Breadth of knowledge of technical systems, including enterprise, distributed and n-tier systems across multiple domains
Breadth of knowledge of technologies, including languages, frameworks and their required skillsets
Ability to design and understand how to broadly utilise these platforms in enterprise production settings
Experience of working with engineering teams across the delivery lifecycle to assist in the realisation of production architectures
Experience in delivering large enterprise-level applications
Highly structured and analytical thinking and decision making
Knowledge of architectural standards (such as TOGAF and Archimate)
Experience of coaching junior team members
Developed practical solutions based on the latest industry developments
Evidence of self-driven research

155

Big Data Architect Resume Examples & Samples

Responsible for overall architecture activities during the life-cycle of a program
Supports the IBM Account team, in determining the skill sets and level of effort required to design and construct a particular program, project, and/or applications to meet the business requirements
Responsible for selecting the correct analytic architecture to fulfill the program or organizations data science, cognitive, and analytic/reporting requirements
Responsible for providing program-level big data architecture planning and design expertise on development projects. Based on business requirements determines the different types of data models needed for a given program or project such as the raw and normalized data models within a Big Data environment
Supports (or leads) in the development of ingestion and curation design of a project
Understands and evangelizes the Digital Cloud Reference Architecture and tiered Data Lake framework
Approves many of the program deliverables in order to ensure compliance with Architectural Standards in subsequent phases
This role includes pre-sales activities
Participated in Big Data architecture and implementation projects and have developed an expertise around Big Data and Hadoop solutions present in the market
Have a solid expertise of tiered Data Lake Architecture with specific skills related to open source (Apache) technologies
Experience in Agile Methodology and Scrum Certification
Language: Scala, Python, SQL/NoSQL
Big Data: Hadoop, Cloudera, Spark, Sqoop, Reddis, Kafka, Tableau etc
Big Data ETL: Informatica, Talend
Big Data data platforms: HDFS, Hive, HBase.
Machine Learning using Big Data on Cloudera platform
Have Big Data hands-on experience within the financial services industries
Big Data technological capabilities Language: Scala, Python, SQL/NoSQL Big Data: Hadoop, Cloudera, Spark, Sqoop, Reddis, Kafka, Tableau etc. Big Data ETL: Informatica, Talend.. Big Data data platforms: HDFS, Hive, HBase... Machine Learning using Big Data on Cloudera platform Have Big Data hands-on experience within the financial services industries,Nil

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