Senior Data Architect: Cloud & Lakehouse Strategy

CMT Services, Inc.; Washington (District of Columbia); Hybrid; USD 120,000 - 180,000; Full time

Job summary

CMT Services, Inc. in Washington, DC is seeking a Data Architect to design enterprise data strategy and governance across cloud platforms. You will lead architecture, governance, and data modernization initiatives while coordinating migration plans and ensuring standards compliance.

The role requires senior-level federal data architecture experience and hands-on work with Databricks Lakehouse environments, Unity Catalog, and cross-team collaboration in a hybrid setting.

Qualifications

• 5+ years of federal data architecture experience.
• Experience with Databricks Lakehouse and Unity Catalog.
• Knowledge of metadata standards and governance.

Responsibilities

• Enterprise architecture, governance, migration strategy, common data model, Lakehouse architecture, solution designs.
• Data migration planning: strategy, plans, timelines, crosswalks, mapping rules, trial migrations, reconciliation (LEAD).
• Data governance & metadata management: 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: architecture, security design, common data model, migration framework, reporting and analytics (LEAD).
• Knowledge transfer: training, SOPs, workshops, shadowing sessions, documentation.

Skills

Data architecture

Data governance

Databricks Lakehouse

Cloud data platforms

Federal government experience

Education

Bachelor's degree

Tools

Databricks

Cloudera

Job description

CMT Services, Inc. in Washington, DC is seeking a Data Architect to design enterprise data strategy and governance across cloud platforms. You will lead architecture, governance, and data modernization initiatives while coordinating migration plans and ensuring standards compliance.

The role requires senior-level federal data architecture experience and hands-on work with Databricks Lakehouse environments, Unity Catalog, and cross-team collaboration in a hybrid setting.