Senior Data Architect

This data architect supports a Data and Information Architecture team through analysis of project requirements, creation of logical and physical data models, creation of scripts for data migration, analysis of data for quality and usage, and performs assessments of the impacts of database change.

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 (Education/Experience):

• Requires a Bachelor’s Degree in engineering, math and/or science and a minimum of 15 years of relevant experience
• For Information Technology Systems Architecture, Enterprise Architecture, or Network Analysis/Design/Test, any combination of degree and relevant experience will be considered if the relevant experience requirement is satisfied.

Job Type: Contract

Contract Renewal:

• Likely