About this role

Provide technical leadership in the design, development, and maintenance of enterprise data solutions.
Architect and implement scalable ETL/ELT pipelines within secure cloud environments.
Integrate structured and unstructured data across AWS and Azure cloud environments.
Implement data quality controls, monitoring processes, and governance standards.
Support data ingestion into enterprise analytics platforms (e.g., Advana or similar).
Develop and maintain executive dashboards using enterprise BI tools (Qlik, Power BI, Tableau).
Automate workflows using Azure Data Factory, Databricks notebooks, or equivalent tools.
Configure and manage cloud security controls in accordance with DoD policies.
Conduct design reviews and mentor junior staff.

Bachelor’s degree in data Analytics, Statistics, Business, or related field (or equivalent experience).
Master’s degree in Analytics, Data Science, or related discipline preferred.
3-5 years of experience in data engineering, ETL development, or enterprise data warehousing.
Experience with Databricks and distributed data processing frameworks.
Proficiency in SQL and Python.
Excellent written and verbal communication skills for reporting and presenting findings.
Experience in AWS and/or Azure cloud environments.
Experience supporting DoD or IC customers.
Experience with Palantir Foundry or similar enterprise data platforms.
Experience with Azure Synapse, Cosmos DB, Neo4j, or Kusto DB.
Cloud certifications (AWS, Azure, Google Cloud).
CompTIA Security+ (DoD 8570 compliant).
Familiarity with enterprise-level resource management and strategic planning processes.

Lead Data Engineer – Top Secret Clearance Required

Key skills