Role : Databrick Engineer
Location : Maclean VA (100% Onsite)
Salary : $120K
Data Platform, Cloud Migration, ETL/ELT
Secondary : AI/ML, Python
Role Summary
Lead Data Engineer responsible for designing, migrating, and optimizing enterprise-scale data platforms on Microsoft Azure, with strong hands-on ownership of ETL/ELT pipelines, cloud data warehousing, and data integration across heterogeneous sources.
Key Responsibilities
Lead data migration initiatives to Azure, including on prem to cloud and legacy ETL modernization.
Design, build, and maintain scalable ETL/ELT pipelines using Azure Data Factory, Databricks (PySpark), and Informatica (PowerCenter / IICS).
Implement end to end data ingestion, transformation, and loading into Azure Data Lake Gen2, Azure SQL, Azure Synapse, and Snowflake.
Migrate and refactor existing ETL workflows (Informatica / SSIS) to cloud native Azure architectures.
Optimize data pipelines for performance, reliability, and cost efficiency.
Ensure data quality, governance, security, and compliance during migration and ongoing operations.
Collaborate with architects, business stakeholders, and downstream analytics teams.
Required Skills
Azure Migration: Hands on experience with Azure Data Lake (Gen1/Gen2), Azure Data Factory, Azure Databricks, Azure Synapse, Azure SQL
ETL/ELT: Strong expertise in Informatica PowerCenter, Informatica IICS, ETL design, CDC, SCDs, and batch/stream processing
Programming: Python, PySpark, SQL, PL/SQL
Databases & Warehousing: Oracle, SQL Server,
Cloud DevOps: Azure DevOps CI/CD pipelines, Git-based version control
Data Modeling: Star schemas, dimensional modeling
Nice to Have
AI/ML experience
Power BI / semantic modelling exposure