Data Architect
Washington, DC
Full Time Senior-level / Expert Clearance required USD 138K - 257K * est.
Significance
Significance is a small, woman-owned federal government contractor providing expertise to close critical knowledge and resource gaps and helping our clients achieve their missions. Our focus on people and relationships allows us to recruit and...
Significance is a woman-owned consulting firm serving the federal government. We are known for building trusted relationships within our teams and with our clients and hiring the highest-level experts who implement innovative solutions. We also like to have fun! Our focus on culture has contributed to Significance being named a Washington Business Journal Best Place to Work each of the last six years.
The Data Architect is tasked with developing, implementing, and maintaining data governance policies and procedures across the ERP environment. This includes defining data ownership roles, creating metadata documentation, developing data quality metrics, and ensuring that Navy and DoD standards for master data are consistently applied across systems. The individual works closely with strategy teams, E2E IPTs, and stakeholders to enable trusted data usage and enhance auditability. Serves as a leader in Financial Improvement Coordination, ensuring that groups of professionals are working successfully within the context of complex business environments. Develops business cases, requirements, studies and scope solutions. Identifies gaps and shortcomings in solutions and determines ways forward and/or workarounds to the solutions proposed. Leads process modeling and translates requirements into design. Leads the formulation and implementation of strategic plans. Coordinates with the client at the SES level and above.
We are an E-Verify Employerhttps://e-verify.uscis.gov/web/media/resourcesContents/E-Verify_Participation_Poster.pdfhttps://www.e-verify.gov/sites/default/files/everify/posters/IER_RighttoWorkPoster.pdf
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The Data Architect is tasked with developing, implementing, and maintaining data governance policies and procedures across the ERP environment. This includes defining data ownership roles, creating metadata documentation, developing data quality metrics, and ensuring that Navy and DoD standards for master data are consistently applied across systems. The individual works closely with strategy teams, E2E IPTs, and stakeholders to enable trusted data usage and enhance auditability. Serves as a leader in Financial Improvement Coordination, ensuring that groups of professionals are working successfully within the context of complex business environments. Develops business cases, requirements, studies and scope solutions. Identifies gaps and shortcomings in solutions and determines ways forward and/or workarounds to the solutions proposed. Leads process modeling and translates requirements into design. Leads the formulation and implementation of strategic plans. Coordinates with the client at the SES level and above.
Required Skills
- Strong understanding of data governance frameworks and best practices
- Experience with metadata management and master data management (MDM) tools
- Ability to lead data stewardship efforts and resolve data ownership conflicts
- Proven ability to document and enforce data policies and standards
- Experience tracking data lineage and data lifecycle management
- 9 years of related experience
- Secret Clearance
- Bachelor's Degree
Desired Skills
- Familiarity with DoD and Navy data governance standards
- Knowledge of FISMA, NIST, and other federal data compliance frameworks
- Prior experience managing master data for SAP ECC or S/4 HANA
- Understanding of business glossaries and semantic layer definitions
We are an E-Verify Employerhttps://e-verify.uscis.gov/web/media/resourcesContents/E-Verify_Participation_Poster.pdfhttps://www.e-verify.gov/sites/default/files/everify/posters/IER_RighttoWorkPoster.pdf
#LI-MH1
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
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Category:
Architecture Jobs
Tags: Consulting Consulting firm Data governance Data management Data quality
Region:
North America
Country:
United States
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