Data Architect CBP

The Data Architect sets the technical direction for how mission data is structured stored governed and consumed across the customers analytic systems. They design integrated data models evaluate platform and BI tooling and ensure the analytic ecosystem aligns with federal Enterprise Architecture NIEM and federal compliance mandates. They are a top-level technical contributor and a key partner to data engineers data scientists and business stakeholders.

• Develop and maintain enterprise and solution-level data architectures conceptual logical and physical models for integrated shared systems.
• Evaluate and recommend systems architecture BI tooling design patterns quality and performance standards and physical/cloud-based data structures.
• Develop strategies for warehouse and lakehouse implementation data acquisition and access archive and recovery.
• Define structures attributes and nomenclature of data elements; build and curate data dictionaries glossaries and metadata.
• Evaluate new data sources for quality and integration fitness; partner with the customers data management office on submissions to relevant Data Reference Models and Enterprise Architecture repositories.
• Ensure conformance with federal Enterprise Architecture FEA NIEM agency Data Management Policy DHS 4300A/B/C or equivalent FIPS 140-2 / FIPS 197 HSPD-12 PIV IPv6 (USGv6) and Section 508.
• Provide expertise in system architecture design and systems-management processes; advise on technology insertion (TI) trade studies.
• Partner with data scientists on feature stores model registries and reproducibility patterns.

• Must have an active Top Secret clearance.
• Six (6) years of relevant experience in data architecture computer science engineering or information systems applied to data science research or big data analytics.
• Bachelors degree in Computer Science Engineering Information Systems or related technical discipline. (A Masters may substitute for up to two years of experience; a Ph.D. for up to five.)
• Ability to perform functional and data requirements analysis and implement data architecture projects.
• Demonstrated knowledge of information architecture methodologies.
• Ability to lead development of organization-wide data architectures for integrated shared software and database systems.

Preferred Qualifications

• Experience with NIEM and federal data exchange standards (BPMN 1.1/2.0 UML2).
• Experience designing data mesh data fabric or domain-oriented data architectures.
• Hands-on experience with modern lakehouse platforms (Databricks Snowflake Iceberg Delta Lake).
• Experience with data governance and catalog tooling (Collibra Alation Atlan AWS Glue Data Catalog Microsoft Purview).
• Experience implementing zero-trust and FedRAMP-aligned data architectures.
• TOGAF AWS Solutions Architect Azure Solutions Architect or comparable certification.

Tools & Technologies

• Modeling: ER/Studio erwin PowerDesigner; Lucidchart / Visio; BPMN 2.0 UML2.
• Cloud: AWS GovCloud Azure Government.
• Lakehouse / warehouse: Databricks Snowflake Synapse Redshift Delta Lake Iceberg.
• Catalog & governance: Collibra Alation Atlan AWS Glue Data Catalog Microsoft Purview.
• Standards: NIEM FEA FIPS 140-2 / 197 HSPD-12 PIV IPv6 (USGv6).
• Languages: SQL Python (familiarity).