Data Architect

CMT Services Inc • Washington, DC

1d • Remote

About The Position

The Data Architect Designs enterprise data strategy, models, and integration patterns. Defines governance standards and leads data modernization and cloud architecture initiatives.

Requirements

• Senior-level experience (5+ years) of progressive federal government experience in data architecture, data strategy, and data modernization, such as developing enterprise, data, and solution architectures; defining authoritative data sources, metadata standards, common data models, governance standards, and integration patterns; designing Databricks Lakehouse environments including Unity Catalog, data zones, and workspaces; and supporting data migration and legacy-to-modern system transitions.
• Experience designing enterprise data models, integration patterns, and governance standards.
• Experience leading projects in Databricks and cloud data platforms; experience with Cloudera desirable.
• Knowledge of data within federal systems related to human resources and financial management.
• Problem-solving, documentation, and presentation skills.
• Bachelor’s degree in and/or Equivalent Experience in Computer Science, Information Systems, Information Technology, Data Science, Computer Engineering, or a related technical discipline.

Nice To Haves

• experience with Cloudera desirable

Responsibilities

• Enterprise architecture, governance, migration strategy, common data model, Lakehouse architecture, solution designs.
• Enterprise & Data Architecture: Enterprise architecture, data architecture blueprints, system inventories, solution architecture, governance standards, decommissioning strategy, FinOps, architecture reviews (LEAD)
• Data Migration Planning & Coordination: Migration strategy, plans, timelines, crosswalks, mapping rules, trial migrations, reconciliation (LEAD)
• Data Governance & Metadata Management: Metadata standards, stewardship, lineage, authoritative data sources (LEAD)
• Systems Integration Engineering: APIs, integrations, interface design, ICDs, ETL/ELT pipelines, interface remediation, integration testing
• Databricks Lakehouse Support: Lakehouse architecture, security design, common data model, migration framework, reporting and analytics (LEAD)
• Knowledge Transfer: Training, SOPs, workshops, shadowing sessions, documentation, repository management

What This Job Offers

• Job Type: Full-time
• Career Level: Senior