Quick overview
Job description
Lead the architecture, design, development, and operation of scalable data pipelines and ETL/ELT processes for analytics, reporting, and mission operations. Design and oversee API connectors and integrations that securely ingest data from internal platforms and external services. Set engineering approaches for data processing, storage, and database performance to meet scale, reliability, and latency needs. Establish and improve data quality, validation, monitoring, and governance practices across production data products.
Partner with mission stakeholders, analysts, architects, and product teams to define requirements and guide solutions. Lead diagnosis and resolution of complex pipeline, integration, and production performance incidents. Work with security and compliance teams to build required protections and controls into data systems. Maintain architecture and operational documentation, and mentor engineers through design discussions and code reviews. Contribute to Agile planning, helping the team break down work and manage technical dependencies.
Evaluate platform and tooling choices and recommend improvements to data architecture and engineering practices.
Qualifications
Required:
Active TS/SCI clearance with CI Polygraph.
Bachelor's degree with 5+ years of relevant experience, or a related master's degree with 3+ years. Degree in computer science, information systems, engineering, mathematics, or a related field.
Proven ability to design, write, review, and support production code in Python, Scala, Java, or a comparable language, using Git, automated testing, and CI/CD.
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