Azure Data Platform Architect & Data AI Leader

CACI International Inc; Arlington (VA); Sur place; USD 121 000 - 266 000; Plein temps

Résumé du poste

CACI International Inc. seeks a Lead Data Architect to own the Azure data platform roadmap for the DS data environment and to advise senior leadership on architecture decisions. The role spans unclassified, Secret, and Top Secret domains, with cloud migration and data governance at the core.

You will lead a data engineering team, secure data movement, and ensure scalable, cost-effective solutions across ingestion, storage, and analytics in a federal context.

Qualifications

• Active Secret clearance required to start.
• 10+ years of experience in data architecture and related fields.
• Experience with Azure Gov or classified Azure environments is preferred.

Responsabilités

• Advise BCDAO and DS leadership on data architecture decisions.
• Own the data platform roadmap and standards for DS.
• Lead implementation of the data platform via the data engineering team.
• Architect secure data management across unclassified, Secret, and Top Secret.
• Drive migration of legacy systems to Azure PaaS/SaaS.
• Establish data governance, quality, metadata, lineage, and access controls.
• Embed security and compliance into architecture.

Connaissances

Azure Data Factory

ADLS Gen2

Synapse Analytics

Databricks

Azure SQL

Data architecture

ETL/ELT

Data warehousing

Cross-domain solutions

Formation

Bachelor’s degree in Computer Science or related field

Outils

Microsoft Purview

Event Hubs

Cosmos DB

Power BI

Azure DevOps/CI-CD

Infrastructure as Code

Description du poste

CACI International Inc. seeks a Lead Data Architect to own the Azure data platform roadmap for the DS data environment and to advise senior leadership on architecture decisions. The role spans unclassified, Secret, and Top Secret domains, with cloud migration and data governance at the core.

You will lead a data engineering team, secure data movement, and ensure scalable, cost-effective solutions across ingestion, storage, and analytics in a federal context.