Azure Data / Databricks Engineer

AIS is an employee-owned, mission-driven company focused on innovation, client success, collaboration, and continuous growth. The Azure Data / Databricks Engineer will build secure and reliable Azure data pipelines and analytics foundations, modernize legacy Oracle workloads, and enable governed reporting and analytics for a federal customer. The role includes developing data models and pipelines, integrating Power BI, implementing Azure Government security patterns, and documenting operational support practices.

Responsibilities:

• Design and implement ingestion, transformation, and data-quality pipelines using ADLS Gen2, Azure Databricks, and approved orchestration services
• Migrate and modernize Oracle data workloads while preserving lineage, reconciliation, security, and performance requirements
• Develop medallion-style data models, notebooks, jobs, monitoring, and operational support practices
• Collaborate with business and BI teams on curated data sets, Power BI integration, and data-consumption standards
• Implement secure identity, network, storage, and access patterns appropriate for Azure Government environments
• Document pipeline operations, data quality checks, recovery procedures, and support handoff materials

Requirements:

• • 5+ years in data engineering, ETL/ELT, or analytics-platform delivery
• • Hands-on experience with Azure Databricks, ADLS Gen2, SQL, Python, and data-pipeline orchestration
• • Experience migrating relational or Oracle data workloads to cloud data platforms
• • Knowledge of data modeling, data quality, reconciliation, monitoring, and performance optimization
• • Strong problem-solving and stakeholder-communication skills
• • Azure Government or regulated data-platform experience
• • Power BI, Unity Catalog, Delta Lake, or Azure Data Factory experience
• • Databricks or Azure Data Engineer certification