Deep expertise in Azure Databricks with demonstrated experience architecting and implementing lakehouse solutions using Delta Lake, Unity Catalog, and medallion architecture patterns Proven experience designing enterprise data platforms supporting diverse analytical workloads including SQL analytics, data science notebooks (Python, R, Scala), machine learning, and visualization integration Strong background in data modeling across multiple paradigms including dimensional modeling, relational databases, graph databases, and data lake/lakehouse architectures Extensive hands-on experience with Azure Data Lake Storage, PySpark, SQL, performance optimization, compute configuration, and cost management for cloud analytics platforms Desired – Experience implementing Databricks in Azure Government or other secure government cloud environments (AWS GovCloud, secure enclaves) with understanding of FedRAMP, NIST 800-53, and federal security requirements Hands-on experience integrating Databricks with Azure AI services, MLflow, feature engineering frameworks, and supporting machine learning operations (MLOps) and AI/ML model pipelines Background in federal government, law enforcement, investigative analytics, or national security data environments with understanding of sensitive data handling, data governance, and analytical workflows for oversight missions. Job Title: Lakehouse Architect / Databricks SMEJob Category: Information TechnologyTime Type: Full timeMinimum Clearance Required to Start: NoneEmployee Type: RegularPercentage of Travel Required: NoneType of Travel: None* * * The Opportunity: CACI is seeking an expert Lakehouse Architect / Databricks Subject Matter Expert to support the Department of Homeland Security (DHS) Office of the Inspector General (OIG).