Analytics Data Architect Resume Samples

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J Von

Jed

Von

8424 Jan Isle

Phoenix

+1 (555) 181 2818

8424 Jan Isle

Phoenix

Phone

p +1 (555) 181 2818

Experience Experience

San Francisco, CA

Analytics Data Architect

San Francisco, CA

Littel-Satterfield

San Francisco, CA

Analytics Data Architect

Conducts data sourcing, profiling, curation, management and preparation using SQL against diverse data sources
Creates new data structures using data modeling software and design principles to support more robust analysis capabilities
Develops, tests, performance improvement, extraction, transformation and load processes, following a standard development methodology
Adheres to and promotes best practices and standard work for all recurring activities
Provide technical and administrative support of complex, enterprise-wide analytics systems to ensure data integrity and proper system functioning
Demonstrates integrity, ethics, and professional conduct at all times
Stays current on relevant industry developments – payment reform, regulations, quality measurement, performance improvement, Meaningful Use, etc. in order to be informed partner to analyze data to find answers to complex problems. Thus more ready to be a thought partner with colleague/customers

San Francisco, CA

Provider Data Analytics Business Architect

San Francisco, CA

Hammes, Hickle and Mraz

San Francisco, CA

Provider Data Analytics Business Architect

Prioritize and manage an analysis plan and several analytical work streams in support of UHC initiatives and programs
Collaborate with big data technical staff and data scientists and or directly create working prototypes for solutions
Collaborate with big data technical staff and data scientists to create working prototypes of solutions
Provide input to forecasting and planning activities
Architect/design data management processes and capabilities (e.g., governance, archiving, metadata, master data, data modeling,
Adapt plans and priorities to address business and operational challenges
Test and validate data to ensure 100% accuracy

present

Philadelphia, PA

Data Management & Analytics Workload Architect

Philadelphia, PA

Heller, Klein and Schaefer

present

Philadelphia, PA

Data Management & Analytics Workload Architect

present

Delivering on sales revenue goals in assigned accounts
Strong track record working in ISV partner sales models
Proficiency in explaining technologies effectively, communicating technical concepts in non-technical terms and transferring technical knowledge to Fortune 500 / enterprise clients
Exceptional knowledge of various data models (including: OLTP, OLAP, parallel/columnar, Hadoop) and application ecosystem (e.g. Vertica, Autonomy, etc.)
10 -12 yrs. working with or selling data warehousing, big data, and/or data analytics solutions for large datasets
Working with senior customer technical representatives to advise and guide on the overall solution. Educating them on the application of HP technologies and approaches used to solve for business outcomes
Deliver presentations, technical documentation, and detailed designs on how to integrate HP solutions

Education Education

Bachelor’s Degree in Business

Harvard University

Bachelor’s Degree in Business

Skills Skills

Ability to work independently and proactively, and collaboratively as part of a team
Demonstrates excellent analytical, mathematical and problem solving skills
Demonstrates integrity, ethics, and professional conduct at all times
Processes and analyzes information from any relevant and available MemorialCare data source in support of the mission of the organization
Experience with Tableau
Excellent written and verbal communication skills
Ability to travel up to 60%
Experience working with data from across the health system – primary care, secondary care, community and mental health
Familiarity with data warehousing, Business Intelligence and ETL concepts
Experience with Business Objects

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15 Analytics Data Architect resume templates

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Digital Analytics Data Architect Resume Examples & Samples

7+ years of work experience in technology
5+ years of experience in data architecture and data modeling
Experience with both structured and unstructured data
Working knowledge of Hadoop and Greenplum, Netezza, or Vertica
Experience with ETL, BI and Data Visualization tools preferred
Experience coaching junior team members in data architecture principles
Ability to articulate designs to analytic practitioners and data developers
Passion for digital financial services preferred
BA/BS degree in Statistics, Math, Physics, Computer Science, related quantitative degree, or equivalent industry experience

Data Management & Analytics Workload Architect Resume Examples & Samples

Translating customers business & technical requirements into a solution architecture, in alignment with HP’s Converged System, computing, storage, and networking platforms
10 -12 yrs. working with or selling data warehousing, big data, and/or data analytics solutions for large datasets
Practical experience with data discovery, integration and onboarding (ETL/ELT)
Strong track record working in ISV partner sales models
Exceptional knowledge of various data models (including: OLTP, OLAP, parallel/columnar, Hadoop) and application ecosystem (e.g. Vertica, Autonomy, etc.)
Strong knowledge of Microsoft APS suite (SQL Server, HDInsight, Parallel Data Warehouse)
Database Certification (e.g. Microsoft DBA)
C-level engagement management in collaboration with account and sales leads

Big Data & Data Analytics Solution Architect Resume Examples & Samples

At least 5 years experience in Developing production software with previous experience working on a large-scale distributed system
At least 5 years experience in applications development and architecture utilizing the following: Java, C, C++, C#, Perl, PHP, Python, UNIX shell, SQL, HTML, etc.
At least 2 years experience in experience using big data systems and/or using big data for data analysis
Chinese simplified: Intermediate

Solutions Architect Big Data & Analytics Resume Examples & Samples

Experience in Requirements Engineering, Solution Architecture, Design, Development and Deployment
At least 15 years of architecting complex DWH/BI solutions
At least 8 years of working with various verticals in a Pre-Sales capacity
Clear understanding of the fast emerging big data technologies and discovery processes
Technical and trusted advising to client's' senior management (CIO,CTO,CFO etc.)
Working experience with regional and global teams
A broad set of technical skills and knowledge across hardware, software, systems and solutions development and across more than one technical domain
Strong communication skills including representing your company in industry standards organizations or industry technical forums or events in Big Data and Analytics field
Financial Services, Retail, FMCG, Healthcare, Government & Telco industry knowledge
Rich technology background across Analytics portfolio of technology vendors like IBM, Oracle, Teradata, Microsoft etc
Created assets relevant to DWH/BI/Big Data technology domain

Data & Analytics Solution Architect Resume Examples & Samples

Experience in a GUI based ingestion tool (for example Talend or DataStage or ODI)
Hadoop security, Data management and Governance
Solid understanding of MapReduce and HDFS footprints
Extensive Programming experience in Java
Security implementation and data management
Experience in Scrum Driven Development using Frameworks
Minimum of 10 years enterprise IT application experience that includes at least 3 years of architecting strategic, scalable BI, Bigdata solutions with a minimum of 5 years of hands-on software development
Executive Speaking and Presentation Skills – White board, small and large group presentations

Big Data & Analytics Solutions Architect Resume Examples & Samples

The BD&A architect will be expected to lead discussions with client facing teams on analytics requirements, setup BD&A solutions based on industry usecases and demonstrate PoC / PoT in a client consumable format to field teams and / or clients
When needed, should be able to run benchmarks that showcase the solution performance and be able to compare this with competing products in the market
Prior experience of having worked with actual production usecases in HPC, Banking, Telco, Retail or Automotive domain, MSP/CSP or System Integrators will be critical to this job role
Candidate is expected to have work experience with Big Data & Analytics solutions with Hadoop / Spark. Should also have expertise developing analytics solutions around Social Media Analytics & Business Analytics using Map Reduce / Spark SQL (Knowledge on R, Python is added advantage)
Candidate should be able to setup Hadoop / Spark clusters from scratch and deploy analytics solutions on top of it. Should be willing to explore & learn newer technologies like Spectrum Scale integration with Hadoop, Apache Zeppelin, Databricks etc. Knowledge on using Ambari / OpenStack to deploy Hadoop is an added advantage
Power Systems skills will be an added plus
Certification in leading, Opensource DB distributions like Mongo DB, Apache Cassandra would be an added advantage

Senior IT Managing Architect Big Data Analytics Resume Examples & Samples

Statistical Modelling technologies
Statistical Programming techniques
Accreditations in Data Science and/or Machine Learning preferred
10+ years of experience in a development area with hands on expertise in software development in various technology types (Java, Python, R, Scala, etc.)
5+ years of related work experience in Big Data Analytics including deep understanding of machine learning algorithms and/or statistical modelling
5+ years of experience in the development of Data Warehouse or Analytics Technology Solutions

Big Data Analytics Technical Architect Resume Examples & Samples

8 to 12 years of IT experience with key skills in Core Java and JEE
Experience with Java Generics, Enums, Concurrency Utilities, Collections, java.io packages, XML Parsing
Working knowledge of Design Patterns : Factory, Singleton, Visitor, Strategy, MVC
1 - 3 years’ experience in using Unit Testing framework like JUnit or TestNG, Build Tools like Maven or Gradle, Code Quality tools like PMD / Checkstyle / FindBugs
Experience in JEE – Struts or Spring
Good to have Big Data – Apache Hadoop and Apache Spark knowledge but not mandatory
Knowledge of developing REST API is a plus
To be able to work in a fast-paced agile development environment
Ability to work as an individual contributor and ability to coach, guide and mentor a team
Establishing and maintaining trusted relationships with clients and partners to scope, solution, propose, and deliver complex big data analytics and cognitive computing projects
Conduct discovery meeting(s) to collect, analyze, clarify and document technical requirements during a sales cycle to support the project team to produce a solution proposal
Provide detailed, practical and technical guidance about the value of various Big data tools and components on premise and cloud and recommend appropriate solution to clients
Provide and contribute to the enterprise effort in the evaluation of technology, hardware capacity, vendor tools, application architecture, and infrastructure design
Establish compelling points of view about how big data on premise and on cloud can be used to transform customer engagement
Develop use case-specific assets and accelerators to drive combined Big Data and Analytics solutions
Responsible for the overall design of the Big data and analytics application and mapping the business requirements to systems/technical requirements and works as a team member to deliver the complete solution for the application
Hands-on development of deliverables utilizing big data framework, tools (including open source) and cloud platforms
Assist in the growth and development of the Big Data practice providing hands-on leadership and direction, contributing to the growth of intellectual capital and supporting the development of other consultants through mentoring and/or coaching activities
Leading Executive Briefings, White boarding Sessions, and other Strategy sessions with customers as required that focus on the relevant product and technology stacks
Providing technology thought leadership to the project / program in the areas of Big Data, Hadoop, AWS and Azure based Big data and analytics components
Bachelor’s degree in a quantitative discipline
Over 8 years of experience in architecting and designing complex Big Data and Analytics solutions on premise and/or cloud
A minimum of 10 years professional hands-on experience in Data warehouse solutions, 3 to 5 years of suctioning and delivering Big Data solutions
Demonstrated ability to think strategically about business, tools and technologies, and challenges in an enterprise environment
Deep understanding of database and analytical technologies in the industry including MPP databases, noSQL storage, Stream computing, Data Warehouse design, BI reporting and Dashboard development
Solid understanding of cloud technologies (AWS, Azure, IBM) based Information Management, Big data and Analytics tools and components
Hands-on programming experience in Big Data tools like IBM Big Insights, Cloudera, Horton Works, NoSQL and unstructured database like MongoDB, Cassandra, Hbase, Big data tools like Splunk, Spark, Flume, Kafka, Sqoop, Storm, R, Python
Implementation and tuning experience in the Apache Hadoop Ecosystem, including tools such as Hadoop Streaming, Spark, Pig and Hive
Implementation and tuning experience of Data Warehousing platforms, including knowledge of Data Warehouse Schema Design, Query Tuning and Optimization, and Data Migration and Integration
Ability to display data visually, creating powerful presentations which effectively demonstrate the value of analytic deliverables
Provide overall leadership in the quality and execution of consulting engagements
Proven communicator, ability to motivate teams (both internal and external) and build alignment around goals and objectives
Excellent verbal and written communication skills and good at developing relationships across diverse teams

Data Analytics Solution Architect Resume Examples & Samples

Technical and Functional Team Lead
Provide administration support to Big Data Environment
Maintaining optimal performance of applications, performance monitoring, capacity planning, and performance tuning
User & security administration
Monitor the logs and performance of servers
Serving as a technical expert providing input to application design related to performance tuning and administration requirements
Performing application administration, assisting report developers, and participation in load testing exercises
Monitoring and Maintenance of all environments which includes following up cases for solving technical issues face by users
In-depth customer knowledge to provide appropriate solutions
Should be able to interface with client and work on technical requirement
Provides technical guidance and training to team

Principal Analytics & Data Management Solution Architect Resume Examples & Samples

Build out multi-year strategy and roadmaps for data and analytics services that are aligned to business capabilities, and the overall enterprise direction
Drive data strategy through demand management, governance, design, and implementation, acting as advisor to IT teams
Work with the governing bodies and management to create, publish, and promote Data & Analytics Services direction
Champion information architecture and the data governance and data management standards and processes and support the training, socialization and adoption of these practices across the enterprise, for improved consistency and understanding of data for analytics
Create and expand strategy and architecture to evolve existing data and analytics architectures that accommodate both traditional and structured data to leverage unstructured and semi structured data including data from the Internet of Things (IoT)
Expand strategy from traditional batch-oriented architectures to incorporate real-time data and complex event processing
Develop, document and evolve information architecture governance standards and process around managed and self-service analytics
Serve as an architectural resource for projects and other solution development activities by providing direction and support to Solution Architects for the aspects related to their topic area for all solutions developed
Create Technology Standards documentation, leveraging the input from the related product owners
Bachelor's degree in a related field and/or a minimum of 4 years of equivalent work experience
A minimum of 15 years of Information Technology experience including the development and maintenance of IT technical architecture and standards
Experience with large complex programs or national strategic initiatives
At this level graduate coursework may be expected
Experience with projects with budgets of up to $250M with multiple sites or regions, and/or up to 40 integrated work tracks
10+ years experience architecting, designing, data management systems and technologies
4+ years of enterprise level data architecture experience, as a business architect, information architect, or solution architect preferred
Solid experience in data management (data/analytics governance, master/reference data, metadata, and data quality)
Bachelor's Degree in Information Architecture, Information Management, Information and Data Science, Applied Information Technology, Computer Science. Master’s or advanced degree preferred
Experience using model-based representations to define, abstract, aggregate, decompose, and relate complex and conflicting business information
Expertise in building information blueprints for current and target states, identifying and understanding information gaps, and building information strategies and roadmaps
Strong track record of communicating information strategies, information roadmaps, and information architecture to various audiences (business and IT), at different levels of the organization
Must be able to think and act strategically, and be able to operationalize strategy
Strong leadership and collaborative skills in growing technology partnerships with business and IT teams
Strong leadership, mentoring and self-management skills
Proactive and high degree of initiative and follow through
Professional certification in Enterprise Architecture (TOGAF), Business Architecture (BAIP), Business Analysis (IIBA), Data Management (CDMP)

Big Data & Analytics Specialist Solution Architect Resume Examples & Samples

Design Customer Solutions Collaborate with AWS field sales, presales, training and support teams to help partners and customers learn and use AWS services such as Elastic Map Reduce (EMR), Redshift, Kinesis, Amazon Machine Learning, AWS Lambda, Data Pipeline, S3, DynamoDB, and the Relational Database Service (RDS)
Devise Strategy Engage with Solution Architects, Account Managers Professional Services and Partners to define an Analytics Engagement strategy for AWS operational territories and key accounts
Capture and share best-practice knowledge amongst the worldwide AWS solution architect community
Understand AWS market segments, and industry verticals
The candidate will possess both technical and customer-facing skills that will allow them to be the technical support “face” of Amazon within a solution providers’ ecosystem/environment as well as directly to end customers. He or she will be able to facilitate relationships with senior personnel, as well as the technical background that enables him or her to easily interact and give guidance to software developers, IT pros, and system architects in public sector markets. The ideal candidate will also have a demonstrated ability to think strategically about business, product, and technical challenges
The right person will be highly technical and analytical, possess significant experience of software development and/or IT and networking implementation/consulting experience
Strong verbal and written communications skills are a must, as well as the ability to work effectively across internal and external organisations and virtual teams
Technical degrees in computer science, software engineering, or math highly desired; working knowledge of modern software development practices and technologies such as agile methodologies and DevOps is highly desired
Operational – Website/web services as well as traditional IT networking, operations, management, and security experience
Economic and business – RFP/Acquisition support; market analysis; cost benefit analysis, etc
Ability to think strategically about business, product, and technical challenges in an enterprise environment. Understanding of Agile methodologies, and the ability to apply these practices to Analytics projects
Highly technical and analytical, possessing 10 or more years of analytics platform implementation or operations experience. Deep understanding of database and analytics technologies in the industry including MPP, Relational, and NOSQL databases
Implementation and tuning experience of Data Warehousing platforms, including knowledge of Data Warehouse Schema Design, Query Tuning and Optimisation, and Data Migration and Integration. Experience of requirements for the analytics presentation layer including Dashboards, Reporting, and OLAP
Fluent Hebrew and English speaker
Demonstrated industry leadership in the fields of Database and/or Data Warehousing, Data Sciences and Big Data processing. Experience with Statistics and Machine Learning
Hands on experience as a database, data warehouse or big data developer
Track record of implementing AWS services in a variety of business environments such as large enterprises and start-ups. Experience working within the software development or Internet industries is highly desired

Analytics Data Architect Resume Examples & Samples

A minimum of 3 years’ experience working in an analytical role
An understanding of, and experience working with, relational databases
Experience in reading/building data models
Experience with SQL (and/or CCL)
Aptitude to learn new technologies
Experience working with clients to explore use cases and define requirements
Ability to work independently and proactively, and collaboratively as part of a team
Experience in communicating the findings of data analysis to a wide range of audiences
Familiarity with data warehousing, Business Intelligence and ETL concepts
Background in healthcare information systems
Familiarity with the Cerner Millennium Data Model
Background in healthcare industry areas such as regulatory reporting and population health outcomes reporting
Familiarity with public health and epidemiology
Familiarity with process improvement methodologies and analytics
Experience with statistical modelling, machine learning and predictive analytics
Experience working with data from across the health system – primary care, secondary care, community and mental health

Data & Analytics Solutions Architect Resume Examples & Samples

Analysis, design, architecture, development and support in analytics platforms including SAP HANA EE
Work with key business partners to prioritize development initiatives, manage timeline expectations, and ensure that technical solutions meet business needs
Analyze existing data flows and create or change data flows based on business needs
Analyze, design, and develop as needed for projects and enhancements including real time and batch interfaces
Support custom solutions built using various technologies such as Javascript, SQL, HTML5, ABAP and other native languages
10+ years of work experience with different data heavy applications
Deep understanding of HANA/ other analytical platforms at the application and database level
Experience with handling large amount of data operations
Solid experience in connecting to various backend systems for data including SAP or other enterprise systems
Strong web services knowledge including JSON is required
Strong RDBMS experience developing and designing new tables /views and other database objects
Upstream oil & gas experience required
Programming abilities in SQL, Javascript, ABAP, or HTML5

Software Architect for Big Data Management & Analytics Resume Examples & Samples

As a Software Architect, you will be responsible for designing, prototyping and implementing a component of the digital ecosystem platform which manages the data made available by the digital ecosystem platform to enable big data analytics
The development of the architectural vision for the data management component in the digital ecosystem platform is also part of your role
You design, prototype and specify the data management component and control the implementation from a technical point of view (Non-Functional Requirements, Test Coverage, Code Quality)
You analyze and communicate technical recommendations and liaise with internal and external partners
You interface with delivery and operations teams in a cloud-based environment
You hold a university degree in medical physics, computer science, engineering or a relevant related subject
You have 5+ year's work experience in software development and data management
You have in-depth knowledge of the healthcare domain model, medical imaging, post processing applications and Healthcare IT
You are familiar with state-of-the-art project management and software development methodologies (SCRUM, Kanban, DevOps, TDD, BDD, Continuous Delivery)
You have in-depth knowledge of modern cloud technology (e.g. MS Azure) and web technologies (Type Script, JavaScript, HTML, CSS, AngularJS, RESTful APIs)
You have in-depth knowledge of large-scale data lifecycle management, distributed data management systems and big data analytics (data warehousing, business intelligence, SQL, NoSQL, graph databases, HADOOP/HIVE, Spark, Python, R)
You have demonstrated the ability to interact with interdisciplinary & international teams and are willing to travel internationally on business trips (approx. 20%)

Provider Data Analytics Business Architect Resume Examples & Samples

Document business and technical requirements for provider data business rules, complex analytics
Test and validate data to ensure 100% accuracy
Monitor and document project milestones and outcomes throughout the project lifecycle to ensure adherence to desired timeframes. Help break through barriers that impede progress
Identify project duration, effort, sequence, and dependencies of tasks required to meet applicable project objectives, maintain project and task lists for your initiatives
Adapt plans and priorities to address business and operational challenges
Provide input to forecasting and planning activities
Collaborate with big data technical staff and data scientists to create working prototypes of solutions
Prioritize and manage an analysis plan and several analytical work streams in support of UHC initiatives and programs
Utilize appropriate communications tools / techniques to ensure understanding and buy-in from applicable stakeholders (e.g., data summaries, key milestones, "4 blocker")
Communicate project risk / issue events, responses and results to applicable stakeholders (e.g., project team, leadership, business partners)
Establish, develop and maintain effective relationships with applicable project stakeholders (e.g., project team members, team leads, internal customers, functional SMEs, business partners)
Work with Process Engineering, Payment Integrity, Quality Assurance, and Operations to validate that the methods designed are accurately reflected in the delivered solutions
Lead or contribute to the development of program or project scope statements with applicable stakeholders (e.g., program / project charter, Statement of Work, Business Vision Document)
Drive / participate in the capital request process, as appropriate (e.g., presentations, cost-benefit analysis, business case)
Collaborate with domestic and global team members to accomplish results
BA / BS degree in Business or related field and / or equivalent education and experience
Demonstration of project management focus in prior roles
2+ years working with large data sets and making data-driven analytical decisions
3+ years NDB experience or equivalent provider experience
3+ years Provider Operations experience including defect and remediation analysis
Experience with healthcare data including claims, clinical, HIPAA transactions, Commercial, Medicare, Medicaid, HIPAA transactions
Six Sigma training (i.e. yellow belt or green belt
Demonstrated ability to communicate ideas clearly and concisely to business partners
Demonstrated ability to prioritize and balance multiple priorities and projects
Proven ability to influence course of action with diplomacy and tact when others are directly accountable for outcomes
Competency to convert research requirements to analytical specifications

Provider Data Analytics Business Architect Resume Examples & Samples

Collaborate with big data technical staff and data scientists and or directly create working prototypes for solutions
Assess data management requirements (e.g., governance, archiving, metadata, master data, data modeling, data quality)
Design/define data validation rules and transformation logic (e.g., ETL)
Architect/design data management processes and capabilities (e.g., governance, archiving, metadata, master data, data modeling,
Ensure proper data lineage/mapping from source to target (e.g., from system of record to data marts)
Work with database teams to evaluate and establish physical database requirements (e.g., DBA) and ensure that technical specifications/design documents optimize database performance (e.g., use of appropriate keys, indexes)
Ensure appropriate integration/interface with applicable partner specifications/design documents (e.g., internal/external data sources and targets)
Contribute to user manuals and reporting guides for business users
BA / BS degree in Business or related field
Demonstration of project management of 10 initiatives or more in prior roles
1+ years NDB experience or equivalent provider experience
Six Sigma training (i.e. yellow belt or green belt)

Digital Analytics Data Architect Resume Examples & Samples

Design and build data architecture to support web and mobile behavioral analysis
Stream and transform web analytics data from billions of rows of a data per month
Build and maintain data transformations to build custom dimensions and measures for sessions of page views and interactions
Communicate and train analysts on source data and changes to dimensions and measures
Coordinate changes in data collection with developers, analysts, and business partners to ensure modifications to the website and mobile apps are handled appropriately in reporting and analytical data structures
Coordinate and assist in investigating data issues
Communicate design choices and methodology to non-technical business partners
Discover, explore, analyze and document data from all source and target systems to better understand the total scope of data availability at JPMC
Participate in an Agile development process for on-going projects or ad-hoc requests
Skills Summary

Data Analytics Solutions Architect Resume Examples & Samples

Requres a bachelor's degree in Information Technology, Management Information Systems, Computer Science, or relevant discipline plus five years of experience; or a master's degree in Information Technology, Management Information Systems, Computer Science, or relevant discipline plus two years of experience; or doctorate in relevant discipline; or equivalent experience (a minimum of 13 years of relevant experience required to qualify in lieu of a relevant degree)
Experience with the IT infrastructure
Five years or more experience with Linux/UNIX systems administrations
Outstanding interpersonal and communication skills
Proficiency in administering three or more operating systems
Expertise in a subset of the following information systems technical areas: hardware and software architectural design, network infrastructures and concepts, configuration management and IT automation, cloud infrastructure and services, virtual environments, databases, data storage and retention, storage systems such as Network Attached Storage, Storage Area Networks, and high performance file systems, systems-level software testing, fault investigation and anomaly resolution, documentation and training, system security and information assurance, and deployment of delivered systems
Experience with one or more of the following software systems VMWare, OpenStack, Amazon Web Services, Puppet, Hadoop, Spark, and additional Apache analytics stack projects, etc
Experience with the Ceph filesystem, Swift, S3 and/or similar object storage systems
Experience with hardware architectural design, specifications, prototyping, procurement, integration and implementation for both new systems and for recapitalization of existing systems
Experience with customer interactions, including researching requirements, conducting feasibility studies, advising for alternatives, analyzing cost and schedule implications, specifying technical system and subsystem solutions
Project management and system engineering experience and certifications
Demonstrated ability to apply critical thinking skills to synthesize detailed data into useful information, such as project documentation and developing policies, processes and procedures
Excellent oral and written communication skills
Experience working in a classified environment
Ability to function in a dynamic, fast-paced, multi-disciplinary team
An active DOE Q security clearance, and the ability to obtain and maintain a SCI clearance, which may require a polygraph test

Data Analytics Solution Architect Resume Examples & Samples

Demonstrated experience with commercial and open source data analytics tools
8+ year’s professional experience in a technical position supporting business functions
7+ years in a similar solutions-based consultation-type role, e.g., architect, strategist, consultant, designer
Demonstrated prior experience effectively collaborating with customers and cross-functional teams to deliver superior business outcomes
Experience with multiple product lifecycle implementations, and demonstrated knowledge of best practices for custom developed software implementations at multi-national companies
Professional experience in a high-volume distribution environment

Senior Architect Big Data Analytics Resume Examples & Samples

A MSc/BSc in computer science, mathematics, physics or another relevant area in an advanced IT technology setting and minimal 3 years working experience in the area of big data analytics
Strong architectural knowledge and proven experience on digital platforms, cloud solutions, big data platforms (e.g. Hadoop, Spark) and complex IT Infrastructures
Excellent software development skills (Java and Python). Experience with cloud solutions such as Amazon AWS, Microsoft Azure and/or Google cloud is considered a pre

Cognitive Solutions Architect Big Data Analytics Resume Examples & Samples

Bachelor's Degree in Engineering, Operations Research, Economics or similar fields
At least 3 years experience in Business Intelligence or Data Scientist functionally
At least 3 years experience in Business/Systems, Finance, Retail, Life Sciences, or Telco
At least 3 years experience in the effective translation of business objectives to system requirements
Experience in one or several of following skills: Architecture Development: APIs, JSON, REST, Data Formats, GPU, Node.js, Document DBs, SolR, Elasticsearch, Python (numpy, pandas, scikit-learn etc.), R, Web application (MVC, MVVM) frameworks; Hadoop, spark and micro services expertise for complex data platforms. Cloud deep data developer
IBM Bluemix: Bluemix Fundamentals, IBM Cloud Offering, Instantiate Watson + Other Services on Bluemix, and Configure & Instantiating Watson accelerators on Bluemix
Readiness to travel worldwide up to 80% - Road Warrior
At least 5 years experience in Business Intelligence Architecture including Big Data and Cloud Solutions
At least 5 years experience in technical consulting
At least 5 years experience in one of the following industries: Business/Systems, Finance, Retail, Life Sciences, or Telco
Cloud Deployment: Cloud Foundry, Docker, Kubernetes
Understanding of non-IBM environments AWS, Heroku and Azure, Hortonworks, Cloudera, Kafka
Hands on and working knowledge of adapting & using Watson API’s and / or open source APIs
Good background in Data Mining, Machine Learning, Artificial Intelligence, and cognitive intelligence
Big Data – Hadoop Ecosystem, Apache Spark, Watson Data Platform, Open Whisk

Analytics Data Architect Resume Examples & Samples

Works and builds strong collaborative relationship with end users, clinical and business functional teams, and IS teams to develop analytic solution to meet the business requirements
Develops, tests, performance improvement, extraction, transformation and load processes, following a standard development methodology
Designs and oversees the development of the logical and physical data models, ETL scripts, data quality plans, test plans, metadata definitions and models, queries, work processes, and maintenance procedures
Develops and uses standardized, best practice methods for MHS BI technology architecture. 5. Develops estimates on related project work
Maintains the highest level of expertise and competence in Data Integration space, stays current with new BI/reporting technology and development techniques. Researches and evaluates software and hardware to assist in development on different platforms
Initiates & facilitates process improvements with impacts across multiple teams
Develops, maintains, and demonstrates in-depth business knowledge in assigned areas, and expertise in contemporary use of automation to improve business performance
Processes and analyzes information from any relevant and available MemorialCare data source in support of the mission of the organization
Stays current on relevant industry developments – payment reform, regulations, quality measurement, performance improvement, Meaningful Use, etc. in order to be informed partner to analyze data to find answers to complex problems. Thus more ready to be a thought partner with colleague/customers
Independently and/or collaboratively develops solutions that are high performance, rapid response time, and as close to real-time as possible. Right information of the right data age to the right person using the right tool at the right time
Ensures that data that is presented to the customer is connected to the enterprise data dictionary, standardized terminologies, and provides insight into data lineage and transformations subsequent to initial creation
Provide technical and administrative support of complex, enterprise-wide analytics systems to ensure data integrity and proper system functioning
Stays current on analytics technology and methods, both for systems in use by MemorialCare, and in the industry at-large
Demonstrates integrity, ethics, and professional conduct at all times
Complies with all policies and procedures
Effectively prioritizes work and meets deadlines, multi-tasking as required
Demonstrates excellent analytical, mathematical and problem solving skills
Adheres to and promotes best practices and standard work for all recurring activities
Mentors less experienced team members and customers on analytics principles and best practices
Develops data Integration solutions for analytics applications to end-user specifications independently and in collaboration with management and team members, as well as other members of the organization, such as Performance Improvement and Decision Support
Conducts data sourcing, profiling, curation, management and preparation using SQL against diverse data sources
Shares in team on-call support rotation
Independently leads comprehensive Cost/Benefit and Return on Investment (ROI) analyses for proposed projects to aid management in making implementation decisions
Creates new data structures using data modeling software and design principles to support more robust analysis capabilities
Independently provides solutions that meet end-user requirements as well as provide solutions that further the broader mission of the organization where these are overlapping but beyond initial user-defined scope
Independently conducts end-to-end solution development, from initial request to realized value to customer
Assists in technical project scope definition and resource projections
7 years related work experience
Expert skills with SQL
Expert development skills with consumer and enterprise integration software
Expertise with Enterprise Data Integration tools, such as SAP EIM, Informatica, SQL Server SSIS. Strong experience with development process lifecycle in an Agile environment

Big Data / Analytics Solution Architect Resume Examples & Samples

Provide domain expertise in big data distributed processing frameworks, Hadoop MapReduce and Yarn, Apache Spark, Open-Source and Commercial distributions (Cloudera, Hortonworks, MapR) and Cloud-based services (AWS EMR, Azure HD Insight)
Provide domain expertise of open-source and commercial NoSQL databases (e.g. MongoDB, Cassandra, Accumulo) that implement document, key-value, columnar, graph, and search databases
Provide domain expertise of hybrid data architectures that combine big data with enterprise data warehouses, data lakes, data hubs, and streaming data
Drive market demand for Data and Analytics solutions by providing concise messages tailored for CSRA customers and their desired outcomes
Help define our go to market strategy for modern data management, data warehousing, big data, and advanced analytics offerings
Collaborate closely with our leveraged service center to incubate, design and deliver leveraged Data and Analytics offerings
Help activate, energize and engage a community of data management engineers and practitioners to build a strong sense of community, to provide career mobility, achieve meaningful corporate reach back and to design training and certification pathways
Collaborate with CSRA’s internal and external AWS resources to help partners and customers learn and use AWS services such as Amazon Elastic Compute Cloud (EC2), Amazon Simple Storage Service (S3), Amazon SimpleDB/RDS databases, AWS Identity and Access Management (IAM), etc
Define and deliver on-site technical engagements. This includes pre-sales on-site visits, understanding customer Big Data/Analytics requirements, and proposing and delivering packaged offerings, and delivering custom solution engagements
Presentations/proposals will be made to high level stakeholders ( i.e. C-level, VP, government officials) –candidates must have experience presenting to high value stakeholders
Consulting Engagements include short on-site projects proving the use of AWS services to support new solutions. Engagements may include migration of existing applications and development of new applications using AWS cloud services
7 or more years of business solutions experience; 3 or more years in Cloud setting
Experience working with data analytics, programming languages, and database systems
Experience working with office productivity tools; delivery assurance and/or industry standards on deliverables
AWS or Azure Certifications highly desired
Requires expertise and experience implementing three or more of the following technology areas: cloud analytics, AWS, Azure database design, data warehousing, big data, NoSQL, data science, data analytics, machine learning, streaming data
Deep knowledge of data formats and structures, data storage, retrieval, transport, optimization, and serialization
Demonstrated experience developing engineering solutions for both structured and unstructured data
Experience working with large datasets including data integration, data migration, analysis and visualization
Strong communication skills to communicate with customers, support personnel and stakeholders
Willing to travel to a variety of customer sites within the DMV area