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Looking for a senior Data Architect for one of our client. The Candidate should be on our W2
No C2C
Qualifications
Required Skills:
Analyze data requirements through life cycle and value chain analysis and ensure enterprise integration
Determine, evaluate and understand data pedigree/lineage e.g. authoritative, replicated, derived, enhanced etc.
Support development, reviews and management of data governance artifacts to include but not limited to: metadata catalogs, data registries, data dictionaries etc.
Support/provide data quality specifications, analysis, measurement, and improvement recommendations.
Support and enable technical compliance and alignment with standards
Engage with SD customers, data owners with an objective to move data to the platform that is already in place (built by GDIT)
Support development and improvement of EIM Platform data storage and architecture artifacts
Develop data source collection capabilities to enable and support the integration of these onboarding capabilities with the EIM Platform data collection component, for designated data sources on the EIM platform
Identify data storage needs, processing models and add to the data architecture
Support standardization and documentation of data management tools resources to canaled on the EIM Platform
Experience with information architecture concepts (Common Information Model/Canonical Data Model, Enterprise Information Management, Metadata Management, Data Governance, and Master Data Management).
Experience with data modeling, data mapping, data profiling, and data quality.
Ability to communicate, written and verbally, technical concepts in business terms.
Ability to identify opportunities for efficiency and areas of potential conflict.
Ability to consolidate themes in order to maximize resources.
Ability to build consensus and influence stakeholders to obtain buy-in.
Proficiency in enterprise data management as well as experience of relational and object-oriented database technology; SQL, MS SQL Server, Oracle, MongoDB, NoSQL databases a plus.
Understanding of current approaches to data modeling (UML, entity relationship), knowledge warehousing, data mart.
Ability to utilize enterprise architecture concepts to evaluate and develop data standards and related processes, especially expertise in XML, JSON.
Qualifications
Requires a Bachelor’s degree in Computer Science or other IT degree
Engineering, math, and/or science degrees are acceptable substitute degrees
Minimum of 15 years of relevant experience
Relevant Certification
The ability to successfully obtain and maintain a U.S. Suitability/Public Trust Background Clearance