Data Architect, Big Data Resume Samples

The Guide To Resume Tailoring

Guide the recruiter to the conclusion that you are the best candidate for the data architect, big data job. It’s actually very simple. Tailor your resume by picking relevant responsibilities from the examples below and then add your accomplishments. This way, you can position yourself in the best way to get hired.

Craft your perfect resume by picking job responsibilities written by professional recruiters

Pick from the thousands of curated job responsibilities used by the leading companies

Tailor your resume & cover letter with wording that best fits for each job you apply

Resume Builder

Create a Resume in Minutes with Professional Resume Templates

CHOOSE THE BEST TEMPLATE - Choose from 15 Leading Templates. No need to think about design details.

USE PRE-WRITTEN BULLET POINTS - Select from thousands of pre-written bullet points.

SAVE YOUR DOCUMENTS IN PDF FILES - Instantly download in PDF format or share a custom link.

Create a Resume in Minutes

H Parisian

Heber

Parisian

3391 Little Hills

Chicago

+1 (555) 407 3129

3391 Little Hills

Chicago

Phone

p +1 (555) 407 3129

Experience Experience

Houston, TX

Data Architect, Big Data

Houston, TX

Nicolas-Prohaska

Houston, TX

Data Architect, Big Data

Review and manage work assignments for team in an Agile development environment
Effective listener, who can give timely and constructive feedback. Is willing to state opinions assertively and deals constructively with conflict situations
A problem solver as well as willing to compromise for a common effective and efficient solution
Work as a team; cross trains as well communicates effectively and efficiently in a virtual global team environment
Develop and maintain relationships with key business and technology partners
Ensure all code changes are managed according to the company best practices
Identify opportunities for improvement as well as innovate

Phoenix, AZ

Solutions Architect Big Data

Phoenix, AZ

Doyle-Conroy

Phoenix, AZ

Solutions Architect Big Data

Conduct performance reviews, leadership development and evaluations of direct reports
Work with Business Stakeholders and Project Managers to understand inefficiencies in clients’ existing business processes and applications and recommend solutions
Engage in technology sourcing and selection activities on, working with third-party vendors to identify the solution options
Work collaboratively with clients, intermediaries and internal CACI technical experts to build high impact solutions
Lead deliveries of business projects and sub-programmes; working with a diverse team of architects, technologists and third parties
Adheres to configuration management and documentation practices
Expertise in architecting digital and multi-channel technology solutions, covering all layers of the technology stack, from presentation through to physical infrastructure

present

Houston, TX

Think Big Principal Data Architect

Houston, TX

McCullough Inc

present

Houston, TX

Think Big Principal Data Architect

present

Development of data flows and templates, often working with the customer’s developers to help them learn how to use Kylo
Analyze complex distributed production deployments, and develop a plan to optimize performance
Recommend and design integration with third-party systems and network management tools
Development of Java extensions to the Kylo framework
Lead Kylo developer training in a classroom setting
Present the Kylo roadmap, vision, proposed data lake architectures and business outcomes to all levels – developers, architects, CTO, CIO
Installation and testing of Kylo framework

Education Education

Bachelor’s Degree in Computer Science

Washington State University

Bachelor’s Degree in Computer Science

Skills Skills

Basic knowledge of machine learning, statistics, optimization or related field is
Knowledge on NoSQL platforms
Demonstrated experience and success managing projects
Experience with the major big data solutions like Hadoop, Map Reduce, Hive, Pig and other tools in the Hadoop ecosystem
Understanding of major programming/scripting languages like Python, Scala
Experience modeling data in SAP BW and SAP HANA
Experience working with large data sets and distributed computing tools
Planning and administration of project tasks and dependencies
Facilitating team status meetings
Developing project related documentation

Create a Resume in Minutes

15 Data Architect, Big Data resume templates

Read our complete resume writing guides

Big Data Software Architect Resume Examples & Samples

Work with global architecture team to drive the technical strategy and architecture
Mentor engineers, complete hands-on technical work and provide leadership on complex technical issues
Lead the big platform research, design and implementation
Foster and encourage growth of technical team members by providing technical input, advice, coaching, guidance, deliverable review, etc
Act as a technical expert and make significant contributions to all stages of product development, including but not limited to helping engineering team to get deep understanding of business requirements, technical requirements and technical operation requirements
8+ years' experience of requirement analysis, design, development and implementation of large-scale and high performance distributed platform and applications
At least 3 years leadership experience in architectural design, technical decision-making and solution estimation
Expert of big data technology including Hadoop/Spark/Storm
Hands-on skill in coding/debugging/troubleshooting
Broad knowledge on data warehouse data modeling, design patterns, refactoring, unit test. Familiar with agile, continuous integration and continuous delivery etc
Excellent written and good spoken communication skills in English
Experience in large data sets, especially real-time streaming data is big plus
Knowledge of the database implementations is a plus
Network Infrastructure (Routing and Switch) experience is a big plus
Participating famous open source distributed system is a big plus
LI-APJ-LL1

Big Data Technologist / Architect Resume Examples & Samples

Architecting and building and implementing a data platform over Big Data technologies
Leading innovation by exploring, investigating, recommending, benchmarking and implementing data-centric technologies for the platform
Being the technical architect and point person for the data platform
Collaborating with application engineering teams and providing platform support for applications in a very agile environment
Passion and interest for all things distributed - file systems, databases and computational frameworks
Hands on programming and development experience; excellent problem solving skills; proven technical leadership and communication skills
Having a solid track record building large scale, fault-tolerant systems over the whole lifecycle of the project - you have spent significant time and effort observing large-scale systems in production and learning from it
Strong understanding of how the various technical pieces fit together: you can explain why you made architectural/design decisions and chose certain tools/products
Having made active contributions to open source projects like Apache Hadoop or Cassandra
Experience in large scale Stream processing frameworks such as Storm, Streambase and S4 is a strong plus
Experience in analytic frameworks such as Impala, Phoenix (for HBase), Berkeley Analytics stack (Spark/Shark) and Pandas/NumPy is a strong plus
Prior experience with large scale distributed RDBMS (Teradata, Netezza, Greenplum, Aster Data, Vertica) is a plus
Knowledge of cloud computing infrastructure (e.g. Amazon Web Services EC2/S3/EMR, RackSpace Cloud, OpenStack) is a plus
5+ years of programming experience (Java and Python on Linux)
3+ years of hands-on experience with key-value store technologies such as HBase and/or Cassandra
2+ years of experience with the Hadoop stack - MapReduce, Pig, Oozie, Scribe/Flume etc
2+ years of hands-on experience doing production troubleshooting and performance tuning of the Hadoop stack

Solutions Architect Big Data Resume Examples & Samples

Lead deliveries of business projects and sub-programmes; working with a diverse team of architects, technologists and third parties
Preparation of technology blueprints, supporting technical documentation and technology roadmap
Engage in technology sourcing and selection activities on, working with third-party vendors to identify the solution options
Be part of a wider technology design authority, managing architectural changes, and maintaining adherence to agreed digital roadmaps
Play a leading role in supporting business development activities, as a technology subject matter expert
Partner with key technology, business stakeholders and analysts to ensure well-formed, practical strategies
An experienced solution architect, able to identify gaps and shape a comprehensive, end-to-end design and technology strategy
Recognised as a trusted adviser by senior executives, with a track record of creating successful technology solutions that support a strategic vision and goals
Able to bring to bear extensive knowledge of architectural patterns, technology components, vendor solutions and emerging technology trends on digital solution development in one or more industries, retail preferred
A confident written and verbal communicator able to present at all levels
Experience in engaging and leading the sourcing and selection process for third-party hardware, software and other technology components and services, as required to enable delivery
Able to bring technology leadership to support successful business development of digital opportunities

Software Architect, Big Data Resume Examples & Samples

Directly responsible for the system architecture, system software, and creation of the logical deployment architecture for the eCommerce division
Identify and implement strategies for service enabled technologies. Aligns the architecture with business objectives and company technology direction
Experience in strategies to architect and design re-usable components across website and mobile
Manage multiple high level priorities
Advanced written and verbal communication skills. Ability to effectively communicate technical issues and solutions to all levels of business

Big Data / Data Layer Architect Resume Examples & Samples

Order prototype activities to evaluate proposed changes to the Architecture domain you are responsible for
Ensure the re-use of common components
Ensure the quality attributes of the system are maintained within desired parameters
Conduct architecture proofs including prototyping/benchmarking activities

Big Data Infrastructure Platform Build Architect Resume Examples & Samples

Infrastructure and big data platform design, review, and implementation plans in support of the application requirements
Develop implementation plans. Work closely with platform delivery team, solutions architect , and application architects to ensure the environments are build accurately as per the standards and on time
Drive optimum utilization of system resources
Provide early consultation to Application Development teams as new development efforts are launched - to help ensure that infrastructure and platform best practices are followed and result in better integration of application and infrastructure
Work with Application Architecture and Development teams to identify requirements for distributed computing services
Work with Global Technology Infrastructure (GTI) and Application Architecture teams to create fully integrated application computing architectures
Develop and build center of service excellence through process optimization in requirement gathering, interaction with development team, systems provisioning, app deployment and commissioning
Monitoring framework: ensure the infrastructure is monitored adequately. Identify gaps if any, and update the framework appropriately
Performance tuning and capacity planning- lead and develop framework to ensure the production performance SLAs are met and defined capacity headroom is always maintained
Cyber security- Making sure application infrastructure is compliant with firms policies and security requirements
Process automation and continuous integration
Proactively identify new technologies promising efficiency (cost/productivity) in operations and carry out proof of concepts
Work closely with enterprise architects to collaborate on the development and maintenance of infrastructure platform Technology Product and Services Roadmap
Work with engineering team to define best practices and processes as appropriate to support the entire infrastructure lifecycle – Plan, Build, Deploy, and Operate such as automate lifecycle activities – self service, orchestration and provisioning, configuration management etc

Big Data Technical Architect / Sales Engineer Resume Examples & Samples

Candidate needs to have hands-on experience with Hadoop applications (e.g. administration, configuration management, monitoring, debugging, and performance tuning)
Experience with one of the large cloud-computing infrastructure solutions Amazon Web Services or Microsoft Azure
Must be able to benchmark systems, analyze system bottlenecks and propose solutions to eliminate them
Must be able to work creatively and analytically in a problem-solving environment
Must be able to work in a fast-paced agile development environment

Big Data Technical Architect Resume Examples & Samples

Experience with Hadoop, MapReduce, Hive, HBase, MongoDB, Cassandra
Experience in Impala, Oozie, Mahout, Flume, ZooKeeper and/or Sqoop
Major programming/scripting languages like Java, Linux, PHP, Ruby, Phyton and/or R
Experience in working with ETL tools such as Informatica, Talend and/or Pentaho
Experience in designing solutions for multiple large data warehouses with a good understanding of cluster and parallel architecture as well as high-scale or distributed RDBMS and/or knowledge on NoSQL platforms
Skilled architect with cross-industry, cross-functional and cross-domain know-how
Experience with data security and privacy
Must have excellent written and verbal communication skills
Must be able to perform detailed analysis of business problems and technical environments and use this in designing the solution
Must be able to work in teams, as a big data environment is developed in a team of employees with different disciplines
Deep understanding of SOA principles and Web Services technologies: REST & SOAP

Big Data Modeler / Architect Resume Examples & Samples

Provide leadership and guidance to project teams and other architects on all aspects of BI architecture (RDBMS (SQL, Netezza, etc), Hadoop architecture (if applicable), SAP Modeling (HANA or BW, if applicable) normalized and dimensional data modeling, ETL, reporting, etc
Provide guidance and consultation on specific delivery methodologies for BI projects, such as technical requirements and model design review
Work with the Enterprise Data Modeler (Information Management team) to set strategy and oversee design for significant data modeling work, such as Enterprise Logical Models, Conformed Dimensions, Enterprise Hierarchy etc
Lead efforts to define/refine execution standards for all data warehouse layers (ETL, data modeling, MOLAP/ROLAP/OLAP, reporting, platform etc.)
Participates in meetings to review the design of BI projects. This will include high-level design of the overall solution and detailed design of components as needed (Data Warehousing, ETL, user interface, analysis/reporting, etc.)
Regularly interact with BI leadership on project work status, priority setting and resource allocations. Provide assistance to project teams as they go before change control boards to implement their projects into production
Research new tools and/or new architecture and review with project teams as applicable
Work with support team to define methods for implementing solutions for performance measurement and monitoring
Assist infrastructure leads and BI Delivery teams as needed with background and information on all technologies in use for projects such as new version upgrades, migration of hardware, production issues, etc
Provide leadership and guidance on setting up environments used by the BI team so that they are optimized for a leveraged, multi-tenant operation
Designs and implements data ingestion techniques for real time and batch processes for structured and unstructured data sources into Hadoop ecosystems and HDFS clusters
Designs strategies and programs to collect, store, analyze and model data from internal/external sources. Awareness and understanding of public data sets ability to ingest and integrate
Development and implementation of data design methods, data structures, and modeling standards. Implement industry standard development policies, procedures and standards
Leverages industry networking and contacts to benchmark with peer customers and share knowledge and best practices
8+ years overall experience in IT applications development or consulting related to IT applications development
5+ years in technical development and leadership roles on BI and Data Warehouse projects with significant experience in the majority of these activities
O Designing star schema data models
O Designing normalized data models for historical data warehouses
O Design and Developing with ETL tools
O Designing and developing with MOLAP/ROLAP/OLAP Tools
O Designing and developing with Relational Reporting Tools
Managing or coordinating the time and activities of other people and other groups
ERWin for Data Modeling or similar
Relational DBMS â€“ experience with â€œappliance-likeâ€� platforms, such as Netezza (preferred), Teradata, or others
Experience with leading ETL tools, such as SAP Data Services (preferred), MS SSIS, Informatica, etc
Experience with leading OLAP/ROLAP tools (Business Objects, Microsoft, Microstrategy Hyperion Essbase or Cognos)
Experience with relational reporting tools (Microsoft, Business Objects etc.)
Experience with the major big data solutions like Hadoop, Map Reduce, Hive, Pig and other tools in the Hadoop ecosystem
Understanding of major programming/scripting languages like Python, Scala
Experience working with large data sets and distributed computing tools
Knowledge on NoSQL platforms
Basic knowledge of machine learning, statistics, optimization or related field is a plus
Experience modeling data in SAP BW and SAP HANA
Planning and administration of project tasks and dependencies
Facilitating cross-functional requirement gathering meetings
Developing relationships with internal Customers and Service Providers

Big Data Administrator / Architect Resume Examples & Samples

Architect and evolve Rogers Enterprise Big Data Platform to support Enterprise data management, operational, reporting and analytical systems and applications
Design, install, configure and administer Rogers Enterprise Big Data Hadoop platform: Dev, QA, Production clusters, applications and services in both physical and virtualized environments
Implement best practices to design, install and administer services to secure Big Data environments, applications and users including Kerberos, Knox and Ranger
Implement best practices to configure and tune Big Data environments, application and services, including capacity scheduling
Install and configure high performance distributed analytical applications utilizing Enterprise Big Data platform, including commercial (SAS) and open source Machine Learning frameworks
Work closely with hardware & software vendors, design & implement optimal solutions
Conduct day-to-day administration and maintenance work on the Big Data environment
Look after both incident & change management
Monitor and meet service level targets
Manage capacity utilization to ensure high availability and multi-tenancy of Big Data systems
Perform capacity planning based on Enterprise project pipeline and Enterprise Big Data roadmap
Provide technical inputs during project solution design, development, deployment and maintenance phases
Help with purchase decisions based on business requirements
Assist with preparing and reviewing vendor SOWs
Assist and advise network architecture and datacenter teams during hardware installations, configuration and troubleshooting
Actively participate in architecture and design of the next generation Rogers Big Data platforms
A degree in Computer Science, Engineering, Systems Administration, Technology or a related field
Hadoop 2.0 Administration certification
2+ years of Production Big Data Administration experience
Hortonworks HDP 2.0 / YARN production Administration experience
Minimum 1 year of production experience with Hadoop installation, performance tuning, configuration, optimization, job processing
In-depth understanding of best practices and production experience with Hadoop cluster security frameworks (authentication and authorization): Kerberos, Knox, Ranger
Production experience with Hadoop components and services: Hive, Pig, Hbase, Sqoop, Falcon, Oozie, Ambari
Experience with Flume/Kafka/Storm is a strong asset
Experience administering both virtualized and physical environments
Strong virtualization skills and production experience with VMWare VSphere 5.1 / 5.5 is an asset
Expert Linux / Unix administration skills and experience
Expert Linux / Unix scripting skills
Strong Systems Networking administration skills and experience
Experience within the Telecommunication industry is an asset
Highly motivated and very proactive individual, dedicated to follow-up/follow through without reliance on management for direction

Big Data Presales Architect Resume Examples & Samples

Ability to gather and understand information discovery, business intelligence reporting, query, analytic, and real-time data processing requirements (including the underlying business requirements that drive selection of the tools) and effectively recommend solutions
Ability to gather data management system requirements, position how and why Hadoop clusters, NoSQL databases, and data warehouses are deployed, and effectively recommend solutions
Ability to gather data integration and data ingestion requirements from a variety of structured, semi-structured, and streaming data sources and effectively recommend solutions
Ability to discuss tradeoffs in on-premise and cloud-based approaches, understand data transmission requirements, and suggest viable approaches
Ability to apply information / enterprise architecture methodologies and best practices (such as TOGAF and Oracle’s OADP) during discovery and recommendations and prepare appropriate deliverable
Ability to communicate with lines of business and technical audiences
Ability to apply knowledge of certain industries and uncover the drivers of potential projects
Ability to apply expertise in Oracle products and strategies (and / or those of competitors) that provide needed solutions
Ability to work with other team members and drive initiatives and initial project planning including architecture, value determination, targeted demonstrations, and proof of value testing with well defined success criteria
Any knowledge of some or all of the following products would be considered beneficial: Oracle Advanced Analytics, Big Data Appliance, Oracle Big Data Connectors, Oracle Big Data SQL, Cloudera Hadoop, Oracle NoSQL Database, Oracle Big Data Discovery, Oracle Data Integrator, Oracle Event Processing and Big Data cloud services solutions
Financial Services Industry experience

Big Data Forward Architect, Paris / Suresnes Resume Examples & Samples

Ability to both understand and anticipate requirements to make the global DIL offer evolve
Identify key technical bricks to evaluate and implement in the platforms
Participates in onboarding new entities
Assists entities architects to design integration architecture to work with datas & digital assets
Articulate pros and cons of various technologies and platforms
Document use cases, solutions and recommendations
Help program and project managers in the design, planning and governance of implementing projects of any king
Perform detailed analysis of business problemes and technical environments and use this in designing the solution
Experience with a wide range of big data architectures Hadoop and non Hadoop including HDFS, Redis, Pig, Hive, Impala, Mahout, Spark, Shark, R, Tableau and other big data frameworks
Ability to work and get results in international teams with no hierarchical structures ,
Ability to work in a multi-cultural environment
To be creative and innovation minded
To work with minimal direct guidance, self-motivated and proactive
To work with in a collaborative model, side by side with the business
Manage and participate to internal and external communities of experts
To deal with competing priorities and pressure
Fast adaptation to changing requirements
Results and value oriented
Leadership, influence and conflict résolutions

Data Architect for Big Data Systems Resume Examples & Samples

Take the lead on designing data architecture solutions in compliance with firm wide data management principles and security controls for a big data environment consisting of Spark, HBase, Kafka, Impala etc
Determine the best mix of big data software solutions to streamline data flow for different business use cases and data discovery across the firm while maintaining strict access controls
Collaborating with technologists and data scientists to set up test plans and use cases to evaluate new Hadoop-native technologies for ETL, visualization, data science, discovery, etc
Design the connection between the big data environments and metadata management/security platform to ensure efficient capture and use of metadata to govern data flow patterns and access controls across the firm
Maintain 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 reservoir and the enterprise information repositories
Define processes for the effective, integrated introduction of new data and new technology
Ability to think through multiple alternatives and select the best possible solutions to solve tactical and strategic business needs
BS Degree in Computer Science or Engineering
10+ years of hands on experience in Data Management/Data Architecture/Application architecture/Data Development
3+ years of experience working with modern big data systems for data management, data architecture, security and access controls
Experience managing data transformations using Spark and/or NiFi and working with data scientists leveraging the Spark machine learning libraries
Proficiency working within the Hadoop platform including Kafka, Spark, Hbase, Impala, Hive, and HDFS in multi-tenant environments and integrating with other 3rd party and custom software solutions
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
Hands-on experience with dimensional modeling techniques and creation of logical and physical data models (entity relationship modeling, Erwin diagrams, etc.)

Software Architect, Big Data Resume Examples & Samples

You are experienced with object-oriented design, coding and testing patterns
You have a high bar for operational excellence; ability to quickly lead team through issues resolution, root cause analysis and successfully prioritize corrective action
You're a great teammate with a dedication to grow others around them as much as themselves
You enjoy mentoring junior engineers and promote a culture of continuous learning; take an active role improving the overall potential of the group
You have a real passion for designing and leading the implementation of resilient, distributed software platforms and large-scale data infrastructures
You have a desire to learn about, evaluate and appropriately drive team adoption of new technologies and methodologies
You have a successful track record of engineering Big Data solutions with technologies like Hadoop, Hive & Spark
5+ years Java development experience
Delivery of solutions built on AWS or other large-scale cloud platforms a plus
Experience with streaming data ingestion, machine-learning, Apache Spark and Cassandra a plus

Solutions Architect, Big Data Specialist Resume Examples & Samples

7+ years’ experience of IT platform implementation in a highly technical and analytical role
5+ years’ experience of Big Data service or solution implementation is at least required
Deep understanding of database and analytical technologies in the industry including Databases, noSQL, Data Warehouse design, BI reporting and Dashboard development
Demonstrated ability to think strategically about business, product, and technical challenges in an enterprise environment
Current hands-on implementation experience required

Technical Architect Big Data Solutions Resume Examples & Samples

Above-average technical or scientific degree
2 years of hands-on technical experience estimating and conceptualizing large-scale data solutions, preferably using one or more of the following technologies: Hadoop, Spark, NoSQL
Profound experience with data warehousing (minimum 4 years)
3 years track record in building and deploying solutions to Big Data problems, building and implementing architecture roadmaps for next generation enterprise data and analytics solutions as well as working with Cloudera, Hortonworks, DataStax or MapR
Excellent communication, analytical and conceptual skills
A strong command of both written and spoken English and German
Team spirit and willingness to travel

Big Data Technical Architect Resume Examples & Samples

Responsibility for the entire Development Architecture within the Data Lake
Ensuring that all projects follow known design patterns and solutions
Projects are delivered on time and on budget
Understanding Business drivers, functional and non-functional
Proponent for innovation, best practices, sound design with data & information optimisation in mind
Develop data strategy and data architecture
Extensive experience with the Hadoop eco-system and associated technologies such as Cassandra, MongoDB, NoSQL, Elasticsearch, etc
Experience with any relational database
Should be strong in conceptualising and problem solving
Highly analytical, with structured thinking and decision making
Team leading skills with ability to present comfortably to senior management
Design scalable and reusable solutions on the Big Data Platform
Lead solution governance activities, code implementation into production and follow through with bug fixes through relevant individuals responsible for the code
Create and review technical design documentation to ensure the accurate development of Big Data solutions
Provides solution and technology advice and guidance to the wider Big Data team
Guide and mentor Big Data and consumer Development team members (e.g. BI) through technical solution deliverables
Create, maintain and update development standards, process and product methodology

Software Architect Digital Pathology With a Passion for big Data Resume Examples & Samples

You are responsible for the design of software on component or module level
You have a deep understanding of the consequences of your design on the architecture
You are responsible for communicating effectively the consequences of your design on the architecture
You will design software, on the basis of design specifications in accordance with the functional specifications
You will finalize the design specifications, code and test the designed modules or components, so that the software in question will be reliable, efficient, easy to maintain, and user-friendly
Perform work in line with the product development or software engineering processes that have been agreed in the department
You will #codeforcare

Think Big Principal Data Architect Resume Examples & Samples

Primary and Lead Data and Solution Architect on a project. End to end data pipeline knowledge including metadata, security, data quality, data modeling, building custom views for applications and BI Tool presentation when needed
Present the Kylo roadmap, vision, proposed data lake architectures and business outcomes to all levels – developers, architects, CTO, CIO
Work directly with customer’s technical resources to devise and recommend solutions based on the understood requirements
Document and present complex architectures for the customer’s technical teams
Design and recommend approaches for big data ingestion strategies from any data source or type, including use of leading third party tools and their integration with overall metadata management
Development of data flows and templates, often working with the customer’s developers to help them learn how to use Kylo
Development of Java extensions to the Kylo framework
Custom integration of the Kylo framework to customer systems
Write and produce technical documentation
Lead Kylo developer training in a classroom setting
Work closely with Think Big’ teams at all levels to help ensure the success of project consulting engagements with customer
Keep current with the Hadoop Big Data ecosystem technologies
Travel up to 75%

Big Data, Technical Architect Resume Examples & Samples

Provide broad insight and design recommendations for applications, including big data applications
Own direct responsibility in terms of key technology choices and implementation
Maintain standard compliance
Design, code and debugging of applications
Production server setup, performance tuning, improvement and automation
Provide guidance, assistance, and technical direction to team members
Work with various disciplines to provide technical insight on new initiatives
Interact with key stakeholders to exchange information
B.E/ B.TECH/ M.TECH/ MS or equivalent with 8+ years hands-on experience in Big data / Java / J2EE application design and development
Completion of minimum of two to three full life cycle development projects
Ability to effectively communicate and interact with user representatives and peers in design and feedback sessions
Working knowledge of RDBMS, Java, Spring, Hibernate, HDFS and/or Mongo DB, Spark and other Apache technologies
Knowledge of additional open source tools/platforms will be an added advantage
Understand the business need for big data – what kind of data, how much data, types of algorithms to be run, load on the system, budget etc.- and recommend optimal solutions
Build and implement the solution. This will need you to be hands on to build in quick prototypes/proof of concepts
Work with the operations team to build systems, process and team required to run and maintain the systems securely, reliably and in a scalable manner
Good understanding of infrastructure including server sizing
Experience in database design/implementation; Version Control systems such as GIT, CVS or Subversion (SVN)
Strong debugging, troubleshooting, and diagnostic skills
Passionate about solving problems, quality and learning new technologies

Enterprise Architect, Big Data Resume Examples & Samples

Participate in an ongoing partnership with the business to apply in-depth knowledge of the business operations, strategies, priorities and information requirements to establish the technical application direction
Define enterprise application strategies
Define the system, technical, and application architectures, and in some instances the business systems/process architecture for major areas of development, with a focus on application architecture
Ensure appropriate technical application standards and procedures are defined
Ensure best practices are adhered to in the adoption of new application technologies
Research, evaluate and select application technologies (existing or emerging) that best fit business and IT strategic needs
Ensure the delivery process and technology strategies are coherent and optimized
Participate in developing and architecting application solutions in a multi-project, collaborative environment
Design and assist with the delivery of proofs-of-concept for new or improved enterprise-wide technologies that are used across multiple areas of the business
Architect application solutions across multiple hardware/software computing environments and system components; and
Plan and implement process re-engineering or process improvement
Must have 7+ years of application design, development, and architecture experience using Microsoft .NET platform or Java/J2EE technologies
3+ 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
Extensive knowledge of application architecture, design, and development
Extensive knowledge and experience with Big Data Architecture, Distributed Architecture, MicroServices and EAI/EI
Extensive knowledge of various technology architectures and hardware platforms, both existing and emerging
Working knowledge of EA methodologies and tools, including TOGAF or Zachman architecture frameworks
Working knowledge of relational and dimensional database concepts
Must be a methodical and pragmatic problem-solver
Must have a strong sense of teamwork, active listening skills and negotiation and influencing skills; and

Big Data Application Architect Resume Examples & Samples

Leading all technical aspects of the project including interfaces
Creating transition plans
Providing ad hoc technical support
At least 3 years experience designing/developing/delivering architecture/infrastructure/data integration/data management support environments including virtualized systems environment, Big Data databases, security and portals
At least 3 years experience providing technical leadership on projects
At least 3 years experience creating transition plans
At least 3 years experience implementing SBMC2
At least 8 years experience designing/developing/delivering architecture/infrastructure/data integration/data management support environments including virtualized systems environment, Big Data databases, security and portals
At least 8 years experience providing technical leadership on projects
At least 8 years experience creating transition plans

Solutions Architect Big Data Resume Examples & Samples

Identifies discrepancies between the enterprise technical architecture and systems designs proposed by project teams, and assist project teams in resolving the discrepancies
Designs real-time software applications on selected platforms
Acts as an advisor to SPAWAR and DHA system engineers and proposes changes to the enterprise technical architecture based on analysis of requirements and new technology
Expert in ETL design and implementation and direct teams
Conduct performance reviews, leadership development and evaluations of direct reports
4-5 years of Agile Software Development
Analytical and technical skills with the ability to analyze issues, assess technical risks, and deliver sound solutions in a timely manner
Expertise ITIL process in incident management, problem management, change management and release management
8+ years of experience supporting big data platforms with exposure to the latest technology in in Big Data, Master Data Management (MDM) and Data Quality Services
Experience with MHS and/or VA data and analytical uses
Experience working with dashboards, visualization and reporting front end
Experience with various BI tools such as Tableau, SSRS, SSAS, SAS, etc
Expert in relational database concepts and SQL
Exposure Strong leadership skills, decision making and problem solving abilities
Experience with CMMI Level 3 delivery is a plus

Architect, Big Data Resume Examples & Samples

Design and Build world class high-volume real-time data ingestion and processing frameworks and advanced analytics on big data platforms
Data Management strategy defining direction of data organization; metadata management within Data Lakes
Research, develop, optimize, and innovate frameworks and patterns for enterprise scale data analysis and computations as part of our big data and Internet of Things initiatives
Lead the implementation of Hadoop Data model strategy by creating architecture blueprints, validating designs and providing recommendations on the enterprise platform strategic roadmap
3+ years of hands-on implementation experience working with a combination of the following technologies: Hadoop distributions, Storm and Spark streaming, Kafka, Spark advanced analytics, NoSQL data warehouses such as Hbase and Cassandra, data processing frameworks like Apache Nifi, Talend, Spring XD
1+ years’ experience in designing and implementing big data solutions. 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
Experience in Data lakes and Data Vaults concepts
Demonstrated leadership and interpersonal skills, including decision making, planning, organizing, influencing, mentoring, facilitating, collaborating and negotiating
Deep understanding of database and analytical technologies in the industry including MPP databases, noSQL storage
Big Data Security including Hadoop security and emerging technologies such as im-memory and NoSQL
Programming language -- Java (must), Python, Scala, Ruby
Batch processing -- Hadoop MapReduce, Cascading/Scalding, Apache Spark
Stream processing -- Apache Storm, AKKA, Samza, Spark streaming
NoSQL -- HBase, MongoDB, Cassandra, Riak,
ETL Tools Data Stage, Informatica,
Code/Build/Deployment -- git, hg, svn, maven, sbt, jenkins, bamboo
Familiarity with Agile and DevOps practices (continuous integration, continuous delivery, automation)
Togaf certification is an asset *LI-MK1

Data Architect, Big Data 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 our MapR platform
Provide architecture/design for solving various business problems. The solutions will need to consider the full enterprise data hub platform including, but not limited to MapR, Data Virtualization and Drools/BRMS
Help lead the charge on development strategy, ensuring rapid delivery while taking responsibility for applying standards, principles, theories and concepts
Ensure proper/complete documentation is to standards; architecture, design, metadata, etc
Innovative solutions to enable business to gain access to data in a rapid manner with long term vision in mind
Delivery high quality comprehensive solutions
Diligently teaming with the infrastructure, network, database, application and business intelligence teams to ensure architecture and designs exceed expectations
Experience with the data/development architecture in the field of big data specific to Hadoop Zoo; MapR experience preferred
Data definitions - catalogs, canonical structure, etc
Indicate components of the zoo which are best suited to solve business problems
Data lifecycle management
Instance/container approach to utilize
Data Lake and Data Hub definition
Prior experience in migrating big data platforms from earlier to latest versions of the platforms by defining application code and/or other impacts
Knowledge of SCM concepts using tools like Git, SVN etc
Excellent written and verbal communication skills with ability to communicate technical issues to nontechnical and technical audiences
Software Development Experience - 3+ Years (Unix/Linux scripting, python, SQL/TSQL)
Hadoop/MapR; Spark/SQL, Sqoop, Hive, Drill, Impala, Flume, Jenkins, Kie, JBoss EAP, etc. - 2+ years
BRMS/Drools - knowledge and/or experience is preferred
TOGAF/DMBOK - knowledge and/or experience with standards is preferred
SQL Server 2008 or newer - 3+ years
Data Analysis - 3+ years (technical data analysis)
SAP PowerDesigner, SAP Information Steward preferred
Experience using tools such as RedGate, Atlassian (Jira), Wiki, Visual Studio, TFS, PragmaticWorks, Power Designer, Tortoise/SVN, Git, SQL Server

Big Data / AWS Architect Resume Examples & Samples

AWS BIG DATA Platform
Programming Experience in
EMR
Kafca
Spark SQL
RedShift
AWS Orchestration
Lamda Architecture including Machine Learning knowledge
AWS Codebase Migrations for large scale BI/DWH projects
Exposure in Project Management

Eaa-big Data-practice Architect Resume Examples & Samples

Masters is a plus but not required
10+ years experience in information technology and/or IT professional services
6+ years in client facing roles with data architecture and providing project management and oversight within professional services
3+ years of hands-on big data technology experience
Certification with one of the Hadoop distribution - Cloudera, MapR, Hotonworks
Prior experience with Big Data ETL tools like Informatica BDM, Talend
Prior experience with Spark ingestion/ compute
Hands on experience with few of the tools like pig, flume, sqoop, oozie, Kafka, Nifi, minifi, Impala, Scala, etc
Prior experience with R, Python is a plus
Hadoop administration skills is a plus
Experience with NoSQL database like Cassandra, MongoDB, NuoDB, Couchbase, HBase, Redis is a plus
Experience with various technology platforms, application architecture, design, and delivery including experience architecting large big data enterprise data lake projects
Strong writing and client facing communications with the ability to effectively develop and maintain client relationships
Excellent analytical and problem solving abilities
Able to think and act strategically
Action oriented and able to prioritize while handling multiple tasks

Big Data Infrastructure Architect Resume Examples & Samples

Hands on experience with designing and implementing distributed architecture systems to terabyte/petabyte using OpenSource Software
Experience in full life cycle Hadoop Solutions: requirement analysis, platform selection, design future state application and enterprise architecture, testing and deploying solution
Expert knowledge in modern distributed architectures and compute / data analytics / storage technologies on AWS
Knowledge of a programming and scripting languages such as Java/Python/Perl/Ruby/linux
Understanding of architectural principles and design patterns using frameworks such as Hadoop / Spark and/or AWS EMR
Knowledge of SQL ( MS SQL, PostgreSQL, mySQL) and NoSQL databases (HBase, DynamoDB, Cassandra)
Knowledge of technical solutions, design patterns, and code for applications in Hadoop
Experience in architecting and building data warehouse systems and BI systems including ETL (Inofmratica, Talend)
Software Development Lifecycle (SDLC) experience
AWS Architecture / Azure Architecture experience ideally with the appropriate vendor certification
Understanding of hybrid cloud solutions and experience of integrating public cloud into tradition hosting/delivery models
Experience as principal technical lead on at least one major project
AWS or Azure trained / certified architect – e.g. Amazon Certified Solutions Architect – Associate or Professional Level
AWS Redshift experience
Oozie, Flume, ZooKeeper, Sqoop and/or R
Hands on experience designing, developing, and maintaining software solutions in Hadoop Production cluster
Experience of implementing architectural governance and proactively managing issues and risks throughout the delivery lifecycle
Good familiarity with the disciplines of enterprise software development such as configuration & release management, source code & version controls, and operational considerations such as monitoring and instrumentation
Experience of consulting or service provider roles (internal, or external)
Strong knowledge on software development methodologies like Agile/Scrum, Kan Ban etc. Broad understanding of enterprise project lifecycle
AWS certification in any of the following - Solutions Architect, Developer or Systems Ops
A good degree-level education is highly desirable
Team lead and program or project management experience
Experience using database technologies like Oracle, MySQL is required and understanding of NoSQL, MongoDB is preferred
ISO27001/2 certification
Redshift / Data warehouse experience
Extensive automation experience with either Chef or Puppet
Experience in designing or implementing data warehouse solutions is highly preferred

Senior Architect / Big Data Software Engineer Resume Examples & Samples

Rapidly architect, design, prototype, and implement architectures to tackle the Big Data and Data Science needs for a variety of Fortune 1000 corporations and other major organizations
Work in cross-disciplinary teams with KPMG industry experts to understand client needs and ingest rich data sources such as social media, news, internal/external documents, emails financial data, and operational data
Research, experiment, and utilize leading Big Data methodologies, such as Hadoop, Spark, Redshift, Netezza, SAP HANA, and Microsoft Azure
Architect, implement and test data processing pipelines, and data mining / data science algorithms on a variety of hosted settings, such as AWS, Azure, client technology stacks, and KPMG’s own clusters
Translate advanced business analytics problems into technical approaches that yield actionable recommendations, across multiple, diverse domains; communicate results and educate others through design and build of insightful visualizations, reports, and presentations
Develop skills in business requirement capture and translation, hypothesis-driven consulting, work stream and project management, and client relationship development
Bachelor’s degree from an accredited college/university in Computer Science, Computer Engineering, or a related field and minimum seven years of big data experience with multiple programming languages and technologies; or Master’s degree and a minimum of five years of experience; or PhD in Computer Science, Computer Engineering, or a related field with minimum three years of big data experience
Fluency in several programming languages such as Python, Scala, or Java, with the ability to pick up new languages and technologies quickly; understanding of cloud and distributed systems principles, including load balancing, networks, scaling, in-memory vs. disk, etc.; and experience with large-scale, big data methods, such as MapReduce, Hadoop, Spark, Hive, Impala, or Storm
Ability to work efficiently under Unix/Linux environment or .NET, with experience with source code management systems like GIT and SVN
Ability to work with team members and clients to assess needs, provide assistance, and resolve problems, using excellent problem-solving skills, verbal/written communication, and the ability to explain technical concepts to business people
Ability to travel up to 80%

Senior Big Data AWS Architect Resume Examples & Samples

Hands on experience with Bigdata technologies including administration, configuration management and production troubleshooting and tuning
Hands-on experience working with AWS Cloud technology including S3, EMR etc
Knowledge and understanding of Java, Python, Linux
Experience in benchmarking systems, analyzing system bottlenecks and propose solutions to eliminate them
Be able to clearly articulate pros and cons of various technologies and platforms
Hands-on Experience in technologies like: Spark, Hive, Pig, Kafka, R, Storm
Knowledge of traditional data analytics warehouses like Teradata
Be able to document use cases, solutions and recommendations
Liaison with Project Managers and other solution architects in planning and governance activities related to the project
Bachelors in computer science, data science, business intelligence or related technical field. 5+ years of experience in Data Analytics field