Data Solutions Architect Resume Samples

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I Hilll

Ibrahim

Hilll

8501 Ebba Port

Houston

+1 (555) 327 5957

8501 Ebba Port

Houston

Phone

p +1 (555) 327 5957

Experience Experience

Boston, MA

Data Solutions Architect

Boston, MA

Johnson Group

Boston, MA

Data Solutions Architect

Assist & support other teams (mainly Development and QA) and provide mentoring expertise to developer
The applicant shall provide a data management plan for ongoing use of the tool
Design, coordinate and execute pilots, prototypes or proof of concepts and provide validation on specific scenarios
The applicant shall perform the tasks necessary to allow MPB staff to use the selected data management and reporting tool for its data
Contribute to the evaluation and development of overall IT strategy and performance
In collaboration with project manager, assigns a complexity, perceived business value, and ROI to opportunities
Create and design new solutions, applying theoretical principles of computing and mathematics in order to analyze, test and assess software solutions

New York, NY

Big Data Solutions Architect

New York, NY

Schumm-Hoeger

New York, NY

Big Data Solutions Architect

Work closely with the project teams as outlined in the SDLC methodology providing guidance in implementing solutions at various stages of projects
Work with development, infrastructure, test, and production support teams to ensure proper implementation of solution
Create architecture and technical design documents to communicate solutions that will be implemented by the development team
Work closely with the project teams as outlined in the SDLC engagement model to provide guidance in implementing solutions at various stages of projects
Drive the evolution of infrastructure, processes, products, and services by convincing decision makers
Demonstrate broad solutions technical leadership, impacting significant technical direction, exerting influence outside of the immediate team and driving change
Participate and lead in design sessions, demos and prototype sessions, testing and training workshops with business users and other IT associates

present

Boston, MA

Big Data Solutions Architect / Developer

Boston, MA

Barton-DuBuque

present

Boston, MA

Big Data Solutions Architect / Developer

present

Initiate, develop, and lead new solutions demonstrations/proofs of concept
Provide technical input to the IT strategic roadmap
Help design and architect the process and technology infrastructure to support production, development, test, and experimental platforms for business customers
Lead and teach business customers on data warehousing, big data, and data integration concepts and technologies
Deep knowledge of database and data warehouse technologies
Architecture and design of data and information management solutions to support analytical and management applications, including data transport, lineage, security, management, analysis, reporting, and life-cycle management
BS in computer science or related field

Education Education

Bachelor’s Degree in Computer Science

University of Delaware

Bachelor’s Degree in Computer Science

Skills Skills

Strong attention to detail
Good interpersonal skills and the ability to collaborate effectively with others
Knowledge of entertainment industry
Demonstrated ability working with a BI/DW team in developing and implementing new warehouses relying on ETL and delivering significant analytical capabilities
Knowledge and usage of BI/DW best practices in Kimball methodology
Strong communication skills, both verbal and written
Strong analytical / problem-solving skills
Strong modeling skills including dimensional and normalized modeling utilizing Star and Snowflake schemas
Five years of experience maintaining/operating BI capability
Ability to establish and maintain effective relationships with customers, gaining their trust and respect

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Big Data Solutions Architect Resume Examples & Samples

BS in Engineering or Computer Science or equivalent
Prior experience building large scale distributed system
Experience deploying and scaling applications on AWS, GCE or OpenStack
Strong knowledge of Java or Go
Deep experience with popular Big Data and NoSQL systems
Familiar with agile software development practice
Willing to relocate to Oregon (if necessary)
Experience in leading complex, cross-organization teams
Good knowledge and understanding of Web Service APIs
Proven troubleshooting and performance tuning experience

Data Solutions Architect Resume Examples & Samples

Continually works with the Data Services team and ISG team members to ensure consistent clarity and alignment of data design, functionality, and business requirements
Designs solutions for non-functional data requirements such as Service Level Agreements (SLAs), historical archiving, privacy & security
Works with DBAs on performance optimization SLA definition and tracking
Liaisons with the vendors and external support on issues such as upgrades, technical problems and solutions
Demonstrates and promotes a workplace culture of innovation, high performance, accountability, commitment, respect and teamwork
Provides input related to resource allocations, project plans and deadlines
Provides regular status updates to the appropriate parties
Well versed with software engineering processes (especially Agile) including hands-on experience with UML methodologies
Organized, goal-oriented, self-starter, can manage multiple tasks from start to completion with limited supervision
Knowledge of entertainment industry a plus

Big Data Solutions Architect / Developer Resume Examples & Samples

Architecture and design of data and information management solutions to support analytical and management applications, including data transport, lineage, security, management, analysis, reporting, and life-cycle management
Lead and teach business customers on data warehousing, big data, and data integration concepts and technologies
Initiate, develop, and lead new solutions demonstrations/proofs of concept
Help design and architect the process and technology infrastructure to support production, development, test, and experimental platforms for business customers
Gather technical requirements, listen to business problems, ask probing questions, and develop the solutions architecture to meet the business needs
Extensive experience with at least two of the following big data technology areas: Hadoop, NoSQL databases, and Search
Facility with one or more of the following: Java, MapReduce, Python, Perl, Pig, Hive
5+ years experience as a technical lead
Extensive experience designing solutions to business problems with data warehousing, big data, and data integration technologies
Experience taking solution concepts from ideation to deployment
Strong interpersonal skills as well as strong verbal and written communication skills
Linux/Unix administration
Deep knowledge of database and data warehouse technologies
Experience with large data sets and their associated challenges
Familiarity with the media business
Familiarity with networking components, protocols, challenges, and solutions
Experience with Teradata and Oracle
Experience with Business Intelligence tools, such as Business Objects, Microstrategies, Tableau

Big Data Solutions Architect Resume Examples & Samples

Collaborate in planning initiatives in Application Development, System Architecture, Future Roadmaps, Operations and Strategic Planning
Work with business teams and technical analysts to understand business requirements. Determine how to leverage technology to create solutions that satisfy the business requirements
Present solutions to the business, project teams, and other stakeholders with the ability to speak technical and non-technical
Drive the evolution of infrastructure, processes, products, and services by convincing decision makers

Senior Data Solutions Architect Resume Examples & Samples

Assesses the business problems and directs solutions that use the right database technology or platform to meet business needs and use cases
Interacts with subject matter experts and ISG team members to define models for large and multiple data feeds (near real time and batch)
Assesses business processes, data sources, and data utilization across the enterprise to ensure optimization, extensibility and application of the data architecture
Identifies, evaluates, and recommends emerging data technologies and technology providers that will improve the business
Liaisons with vendor and external support on issues such as upgrades, technical problems and solutions
Monitors the progress and integration of multiple tasks and projects
Background working in Onsite – Offshore model

Big Data Solutions Architect Resume Examples & Samples

Work closely with the project teams as outlined in the SDLC engagement model to provide guidance in implementing solutions at various stages of projects
Review technical team deliverables for compliance with architecture standards and guidelines
5+ more years of experience working with multiple projects through the entire SDLC
3+ more years of experience working as a Solutions Architect
3+ more years of experience with Java development
3+ more years of experience with Hadoop or NoSQL
Experience with Big Data Architecture

Hyperion Data Solutions Architect Resume Examples & Samples

Senior functional expert accountable for aligning planning, budgeting and forecasting solutions data framework with broader master data management strategy in close collaboration with Financial Systems Group Master Data Management (FSG MDM) Director and broader Finance consumers (Director and VP level)
Governance function and functional end to end design management and decision-authority of the Verizon-wide Hyperion Planning, budgeting and forecasting solutions architecture
Responsible for development and management of the solution Master Data architecture governance framework (e.g. process, change requests, standardization) within the FRPS group with impact to the other FSG groups and external customers (e.g. FP&A)
Development of specific, highly-complex Master Data architecture solutions with significant impact on the Verizon-wide Planning, budgeting and forecasting Solutions processes, systems (line of sight >2y) and a significant number of users
On-going optimization and development of the systems & app Master Data architecture (evolutionary changes)
Responsible for medium to large-scale Planning, budgeting and forecasting Solutions Master Data architecture projects (duration >1y, budget >$ 1mil.) in line with FP&A’s long-term strategies/objectives - during project course indirect responsibility of involved project members (for transformational changes)
Ability to work closely with the Planning Solutions and External Master Data architecture and governance managers
Flexible and collaborative work approach to solve complex problems and to develop customer-specific solutions, taking into account multiple internal and external stakeholder groups and different level of stakeholder groups (e.g. Top-Management) with various/changing stakeholder demands/requirements and intersections (e.g. IT, Finance, FP&A, Top-management level etc.)
Compliance to Verizon-wide policies and procedures or direct impact on the re-design of existing policies and procedures
BA/BS degree with concentration in general Accounting, Finance, FP&A, IT, Project Management or equivalent work experience
6+ years of directly related experience with a strong management background
Oracle EPM/BI certification, data analytics background, certified public accountant preferred
Oracle enterprise performance management and business intelligence/ Hyperion
Very strong interpersonal, influencing, communication and organizational skills
Ability to work with various/complex stakeholder groups & functions and various levels of management
Previous people management or supervisory experience

Data Solutions Architect Resume Examples & Samples

Anticipate, identify, and solve critical problems proactively; make decisions with strong business sense
Identify long lead time elements of work and plan accordingly
Flexible, self-motivated, and proactive out-of-the-box and critical thinker

Data Solutions Architect Lead-VP Resume Examples & Samples

15+ years of experience within Data warehousing and well versed with industry popular Kimball and Inmon Data Warehousing methodologies including Integration and Semantic modeling techniques
5+ years or more hands-on-experience with Data modeling tool such as (but not limited to) ERWIN
Communicates complex information so that it is easy to understand and influences other to take action based on the useful information provided
Comfortable working in a fast pace, highly complex, matrixed environment and capable of handling multiple tasks concurrently
Ability to exercise independent judgment and creative problem-solving techniques for data solutions in a large and complex environment
Extensive experience in data design and development coupled with strong knowledge of end-to-end data warehouse development life cycle supporting enterprise analytics and BI solutions
Strong Data Analysis and SQL skills to query data from Teradata, Oracle or other MPPs for Data Analysis
Functional knowledge/experience of the Consumer Banking/Financial Services Industry is preferred
Experience on Big Data Technologies including Hadoop is preferred

Data / Solutions Architect Resume Examples & Samples

Ability to think strategically about business, product, and technical challenges in an enterprise environment. Should have good understanding of agile methodologies, and the ability to apply these practices to data and analytics projects
Able to adapt in a rapidly changing environment, a fast learner and self-starter. Candidates should be mostly hands on at their current positions, have hunger to learn new technologies and are self-motivated
The ability to clearly explain and justify ideas when faced with competing alternatives. Should have experience developing roadmaps to address the priority opportunities and their supporting business cases
Experience with formal presentations, white boarding, and large and small group presentations. Excellent interpersonal and leadership skills - mentoring, collaboration, facilitation, and negotiation skill
Bachelor’s degree in Computer Science or related field OR equivalent experience. Advanced degree is highly preferred
6+ years’ experience in commercial IT and a proven track record with Strategy & Architecture engagements either within a consultancy or large corporate environment. We are looking for candidates with at least 2 years of working experience with big data ecosystem technologies
Hands-on experience with multiple Hadoop ecosystem technologies such as: HDFS, Web HDFS, HBase, Spark, Spark SQL, Spark Streaming, HIVE, PIG, MapReduce, ZooKeeper, Kafka, Cassandra, Java, Scala, etc
Good understanding of integration layer technologies (ESB, API management etc.) is required. Experience with ETL/ELT tools like Informatica, data stage and SSIS is desired
Any BI tool experience with dashboards, reporting, and OLAP cubes are desirable

Data Solutions Architect Resume Examples & Samples

The applicant is responsible for data governance and management services including resolving variable naming inconsistences and implementing a commercial off the shelf (COTS) program that will allow staff to manage data and to obtain reports
The applicant will consult with key stakeholders to understand and document the problem and the desired end goals of the project
The applicant shall develop a project plan with timelines and key deliverables
The applicant shall meet regularly with MPB staff to provide updates and to receive feedback on progress and deliverables per the project plan
The applicant will evaluate and provide a report on variable naming inconsistencies
The applicant will recommend solutions to resolve variable naming inconsistencies
The applicant shall execute the selected solution to resolve the variable naming inconsistencies
The applicant shall develop, in collaboration with MPB staff, system requirements for scalable COTS solutions to manage data and provide reports
The applicant shall present options for data management and reporting tools
The applicant shall consult with key MPB staff to finalize how the selected tool will be used
The applicant shall perform the tasks necessary to allow MPB staff to use the selected data management and reporting tool for its data
The applicant shall provide a data management plan for ongoing use of the tool
The applicant shall train MPB staff to use the tool
The applicant will provide a user-friendly guide for use of the tool to MPB
A bachelor’s degree (database management/administration preferred)
Three years applied experience in research data management in an academic or scientific setting
Proficiency using relational databases
Proficiency accessing and exporting data in SPSS
Experience developing data reports
A commitment to data integrity and quality over the life cycle of the project
The ability to develop creative solutions to data-related problems
A commitment to meeting deadlines
The ability to communicate effectively about work with non-technical personnel
Good interpersonal skills and the ability to collaborate effectively with others
Knowledge of enterprise data management tools is preferred
Ability to sign a non-disclosure agreement

Big Data Solutions Architect Resume Examples & Samples

Hands on extraction and analyzing data and the data sources/elements to enable marketing analytics decision making
Be able to document use cases, solutions and recommendations on the data based on the needs of the client in order to answer the questions that the solutions should output
Expert in translating business requirements into technical use cases that will be implemented during the data extraction process
Have excellent written and verbal communication skills to be able to explain your work in plain language and mentor/train customers and internal team members on data sets and utilities
Help program and project managers in the design, planning and governance of implementing projects of any kind
Be able to work creatively and analytically in a problem-solving environment
Be a self-starter and be able to work in a team of employees with different disciplines in a fast-paced agile development environment
A firm understanding of major programming/scripting languages like Java, Linux, Javascript, Shell, and Python
Experience in working with ETL tools and technologies such as Talend and Pig
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 knowledge of SQL, MySQL, PostgresSQL and NoSQL platforms as well as Hadoop, Apache Spark, Redshift and Hive
Experience in large cloud-computing infrastructure solutions like Amazon Web Services (S3 & EC2) and Elastic Map Reduce
Be very skilled with cross-industry, cross-functional, and cross-domain know-how
Understand and have experience with data security and privacy concerns that could arise that should be taken care of from the start
Bachelors’ of Science in Software Engineering, Computer Science, or related field
Masters’ of Science preferred
10+ years of software development experience with an emphasis in big data science
Experience in digital marketing analytics preferable
Excellent flexibility, and the ability to own multiple analytic tasks at once
Strong problem solving and requirements definition with the ability to adapt to changing deliverables quickly
Ability to train and be trained in an agile environment
To be located in Englewood, Colorado
The ability to travel up to 25%

Data & Solutions Architect Leader Resume Examples & Samples

Lead a team of 10-15 analysts & provide thought leadership in analytics data best practices, analytic solution development and deployment
Analyze and mine business data to identify patterns and correlations among various data points, documenting types & structure of data as needed for analytics use
Map and trace data between systems in order to solve a given business or system problem, serving as the primary owner of the analytics data hub
Perform statistical analysis of business data to understand and improve the quality of data
Design secure solutions that protects data along with administrating confidentiality requirements
Define the data and solution architecture for analytics, collaborating closely with other enterprise groups
Lead the team in an agile way to achieve business goals on time, at the lowest possible cost, and on budget
Leverage and make available external datasets to augment analytics solutions for internal use and customer solutions
4 year Bachelor’s degree preferably in statistics, mathematics, computer science, software engineering or related field
6+ years of professional experience in data mining & solution architecture, working with big data technologies
2+ years of people leadership experience, preferably within data & analytics solution architecture or related analytics capability
2+ years working within a cloud-based environment, preferably AWS or Azure
Experience using SAS and other ETL tools
Experience using statistical packages and techniques with demonstrated application, particularly with more advanced and emerging technologies, including but not limited to machine learning, regression and/or Python/R
Experience in analytics/transactional systems, business intelligence and analytics deployments
Experience with big data technologies preferably in Azure Data Lake, Cosmos, or Hadoop
Advanced degree in statistics, economics, mathematics, or a similar field with a minimum of 12 years of progressively responsible, professional experience utilizing quantitative analytics)
Ability to come up with solutions to loosely defined business problems leveraging pattern detection over potentially large datasets
Demonstration of the following data scientist qualities: clarity, accuracy, precision, relevance, depth, breadth, logic, significance & fairness
Must demonstrate superior accountability, decision-making, initiative, innovation, judgment, planning and organizing, interpersonal skills and the ability to communicate quantitative information effectively
In-depth industry / business knowledge of those which Caterpillar operates
Ability to work cross-functionally with a wide range of engineers and project team members having diverse skill sets
Experience managing complex analytics databases and deploying simplified summaries and conclusions from the data
Experience with producing and maintaining detailed data and analytics presentations, business proposals, and internal- and external- facing presentations

Big Data Solutions Architect Resume Examples & Samples

The Big Data & Data Architect will be responsible for big data solution technical architecture design and delivery for Keyrus Customer. The job covers technical requirements collection and analysis; architecture design, Proof of Concept
This role is a resource with decent industry insight and technical design and development expertise in the Data Analytics. This person should have practical experience in some of the big data technologies including - Hadoop, HBase, Hive, Zookeeper technologies. This role is a hands on technical expert and has experience in leading large delivery teams delivering complex projects
This position requires deep knowledge of Big Data, data warehousing and streams technology，Build or choose open source tools to help other engineers access complex data more efficiently, experienced client facing consultant with strong ability to get requirements and translate to specifications
BS or MS degree in computer science or engineering
5 years in IT Industry with client insight. Familiar with the industry data management status and analytics requirements
5 years developing production software with previous experience working on a large-scale distributed system
At least 5 years of applications development and architecture utilizing the following: Java, Python, UNIX shell, SQL is plus
Prior experience architecting a Big Data Solution, at least 2 years of experience using big data systems and/or using big data for data analysis
Solid understanding of distributed system concepts used in scaling big data technologies with exponential growth of data and speeding up queries
In-depth understanding of inner workings of one or more of the big data technologies like (but not limited to) Hadoop/Mapreduce, Hbase, Hive, Zookeeper，Splunk，Infosphere Streams etc
Knowledge of cluster and parallel processing architectures (particularly on Linux, Blades, x86 and Linux on pSeries...knowledge of network processing and capacity)
Familiar with enterprise software engineering practices, including agile development

Data Solutions Architect Resume Examples & Samples

Defines database physical structure and functional capabilities including the design , security, back-up, and recovery specifications
Design, coordinate and execute pilots, prototypes or proof of concepts and provide validation on specific scenarios
Proposes the data solution architecture, then monitors and governs the implementation
Understands and builds business glossaries and data dictionaries and works closely with the Data Governance team
Designs, builds, and monitors next generation data architectures such data virtualization
Designs and builds data flows (ETL/ELT ) using standard tools such as Talend, Sqoop, Flume, and others
Manage complex data dependencies across datasets and systems including CRM (salesforce.com), ERP (Oracle), External data sources such as telematics data and weather data, referential data, and incremental data loading workflows
Present recommendations, architectural decisions to department and executive team
In collaboration with project manager, assigns a complexity, perceived business value, and ROI to opportunities

Data Solutions Architect Resume Examples & Samples

Bachelor Degree Required, Masters or MBA preferred
5 years of experience designing, implementing, or recommending data architecture and/or systems processes
Experience with adult learning/training
Interest and/or background in technology and management consulting
Knowledge of educational technology systems preferred (e.g. SIS, assessment, and reporting platforms)
Willingness to roll up your sleeves up and get in the nitty gritty of what's happening – this is both a visionary and execution-oriented role
Passion for KIPP’s mission and values

Data Solutions Architect Resume Examples & Samples

Collaborate with senior leadership to develop and execute data strategy, including the architecture and development of master and reference data management capabilities
Assess current data needs, its architecture and tools, and propose plan for improvements to support business growth in the most optimal way
Leverage your experience with "big data" to research, publish and manage data modeling and governance frameworks, technology & technical approaches, proof of concepts, complex design issues, and technical challenges across projects all with regard to data
Partner with product development teams to define and design data architecture solution
Function as a technological evangelist discovering, facilitating discussion, and introducing new idea, technologies, data usage, etc. to the business resulting in new product ideas and influencing software development activities
Monitor, measure and report on Data Solutions Architecture adoption, issues, opportunities, risks and plans
Liaise with other functional / departmental leaders to ensure they are fully informed of objectives, purposes and achievements of Data Solutions Architecture

Data Solutions Architect Resume Examples & Samples

Minimum 5 years in software and data solution architecture
Deep Understanding of Business Intelligence solutions: operational and analytical, strong knowledge of relational and multi-dimensional database architectures
Minimum 3 years with BI Suites such as Power BI, Cortana Analytics, Pentaho, or Spago BI
Minimum 3 years with data transformation and mining toolsets such as SSIS, Kettle or SQL Server data mining
Minimum 3 years with Machine Learning, NLP (natural language processing), Document Classification, Topic Modeling and Information Extraction with a proven track record of applying them to real problems and real data
Working knowledge of various NLP techniques and their use-cases such as PoS tagging, NER, NP chunking, document/word embedding
Fluency in Python and/or Java, and general software development skills (source code management, debugging, testing, deployment, etc.)
Knowledge of statistical classifier models such as HMM, SVM, CRF, LMT, and of best practices in attribute selection, dimensionality reduction, and runtime performance optimization
Knowledge of IR concepts such as statistical search ranking, knowledge graphs, LSA, document clustering, semantic search
Proven track record of analyzing data and bringing value across a range of projects
Strong self-motivated contributor, able to work independently with distributed teams
Ability to provide clear and concise communication both with other technical teams and non-technical domain specialists
Familiarity with noisy and/or unstructured textual data
Experience with open source code
Familiarity with deep and recurrent ANN frameworks such as CNTK, Tensorflow

Data Solutions Architect Resume Examples & Samples

No SQL database (MongoDB, Marklogic)
MDM (IBM, Oracle, Informatica) products
Must have implemented at least one customer master solution
Strong knowledge of data quality techniques in building master data repositories
Strong knowledge of match/merge techniques in building master data repositories
Ability to articulate data governance framework options with clients and then aid the client in implementing those data governance frameworks
Exposure to data migration / data retention type activities and issues
Master Data structures-Legacy and web systems across Customer, Program and Vendor domains
Expertise with Master Data Management products (Informatica, IBM, Oracle)
Strong communication, interpersonal and problem solving/analysis skills
4 years Bachelor’s degree
5+ years of Business Intelligence and Data Architecture experience leading efforts to improve and restructure data structures, as well as create views to enable easier access to existing data structures
5+ years of experience in working with one of the master data model (MDM) products – (IBM, Oracle, Informatica)
Proficient in SQL and Non SQL database modeling (DB2, Oracle, Mongo DB, Marklogic)

Big Data Solutions Architect Resume Examples & Samples

Work on enterprise wide solutions using Big Data
Identify and migrate legacy solutions to big data solutions as per enterprise data management strategy
Develop solutions to satisfy user requirements
Managing the full life-cycle of a Hadoop solution
Requirements analysis, design of the technical architecture, design of the application design and development, testing, and deployment of the proposed solution
Work closely with the project teams as outlined in the SDLC methodology providing guidance in implementing solutions at various stages of projects
Work with project teams to support project objectives through the application of sound architectural principles
Develop and validate proposed solution architecture supports the stated & implied business requirements of the project

Big Data Solutions Architect Resume Examples & Samples

Accountable for developing and executing tasks in support of new product development
Enhance, optimize, and secure the Big Data platform
Enhance and automate algorithms and dashboards to supporting Security Analysts

Principal Data Solutions Architect Resume Examples & Samples

10 or more years of progressively complex health care data analyst experience
Has in-depth knowledge of large scale search applications and building high volume data pipelines
Expert experience implementing complex, enterprise-wide data transformation and processing solutions
Able to report and present data analysis and business decisions to the Key Stake Holders
Experience with Visual Software such as; Tableau
Good business acumen
Previous Manage Healthcare experience

Data Solutions Architect Resume Examples & Samples

Two years of experience as a BI/DW architect, acting as a lead for modeling activities
Five years of experience in a senior technical role focused on BI/DW
Five years of experience maintaining/operating BI capability
Strong modeling skills including dimensional and normalized modeling utilizing Star and Snowflake schemas
Knowledge and usage of BI/DW best practices in Kimball methodology
Demonstrated ability working with a BI/DW team in developing and implementing new warehouses relying on ETL and delivering significant analytical capabilities
Understanding for how to integrate big / unstructured data stored in Hadoop with structured warehouse data
Ability to establish and maintain effective relationships with customers, gaining their trust and respect
Ability to communicate effectively with others at all levels of the organization with either technical and business orientations
ITIL Foundation certification
Bachelor's degree in computer science, computer engineering or similar
Previous experience with Health data and related privacy requirements like HIPAA strongly desired

Big Data Solutions Architect Resume Examples & Samples

To be able to benchmark systems, analyse system bottlenecks and propose solutions to eliminate them
To be able to clearly articulate pros and cons of various technologies and platforms
To be able to explain the work in plain language
To be able to help program and project managers in the design, planning and governance of implementing projects of any kind
To be able to perform detailed analysis of business problems and technical environments and use this in designing the solution
To be able to work in teams, as a big data environment is developed in a team of employees with different disciplines

Big Data Solutions Architect Resume Examples & Samples

Working with the Lead Architect, contribute to the design and development of the VEDA Big Data Analytics architecture framework including technology, architecture strategy, cloud strategy, policies, guiding principles and standards to govern how analytic technology solutions will be developed and implemented
Provide expert consultation and participate as a subject matter expert with VEDA Enablement Team and Execution Team solution architecture
Develop/maintain VEDA architecture planning, processes and standards artifacts
Lead technical architecture discussions and forums across clients, enablement and execution teams ensuring open communications and collaboration regarding architecture across stakeholders
Identify enhancements and gaps in architectural frameworks, standards and patterns and raise them for consideration and inclusion in future versions
Advance knowledge of architecture technology, tools, programming languages, processes and procedures on a broad, organizational level
Ensure projects are aligned with VEDA technology and architecture standards, and design/operate processes to provide ongoing review of in-progress activity against technology architecture and development standards
Contribute to meeting key project milestones and overall project deliverables on time, within budget, adhering to standards
Lead the development and implementation of detailed / complex and/or comprehensive project plans and/or large projects
Continuously enhance knowledge/expertise with emerging industry trends, new technologies and best practices in the external market that can contribute to delivering effective client solutions

Big Data Solutions Architect Resume Examples & Samples

Perficient covers all travel related expenses including weekly flights, weekly hotels, meals, rental car, cell phone, etc
Participate and lead in design sessions, demos and prototype sessions, testing and training workshops with business users and other IT associates
Ability to learn and develop skills as needed to support services outside of this job description and prove with prior examples
Provide architectural assessments, strategies, and roadmaps for one or more technology domains
End-to-End Cloud Data Solutioning and data stream design with Hadoop, Storm, Hive, Pig, Spark, AWS (EMR, Redshift, S3, etc.)/Azure (HDInsight, Data Lake Design) Manage Big Data project and workstream with an emphasis on AWS skillset
Build Fault tolerance systems with scalability and high data throughput
8 Years information Technology with focus on enterprise Software development & architecture
4+ years of experience in End-to-End Cloud Data Solutioning and data stream design, experience with tools of the trade like: Hadoop, Storm, Hive, Pig, Spark, AWS (EMR, Redshift, S3, etc.)/Azure (HDInsight, Data Lake Design)
Strong hands-on knowledge of/using solutioning languages like: Java, Scala, Ruby, Perl, Python
Must have capacity for project/engagement planning and have experience employing the faculties of SCRUM and Agile DevOps & Production Release Management
Working knowledge on building and working around data governance
Passion for working with Open-source technologies as well as commercialized platforms
Bachelor’s Degree with a minimum of 5+ years relevant experience or equivalent
Certification in Datastax, AWS, or any other Big Data technologies