Job Opportunities API

Space is a warfighting domain. True Anomaly seeks those with the talent and ambition to build the technology that secures it. OUR MISSION True Anomaly delivers decisive capabilities for space superiority. We build autonomous spacecraft, advanced payloads, mission software, and space-based interceptors — enabling the U.S. and its Allies to secure the space environment and counter threats from the ultimate high ground. OUR VALUES Be the offset.   We create asymmetric advantages with creativity and ingenuity. What would it take?  We challenge assumptions to deliver ambitious results. It’s the people.  Our team is our competitive advantage and we are better together. YOUR MISSION   True Anomaly does not have a central data platform today. Data lives in disconnected systems: PLM, ERP, project management, source control, and documentation tools, with no warehouse, no unified data model, and no programmatic access layer. As Senior Manager of Data Engineering, you will build this capability from scratch: the platform, the pipelines, the team, and the operating model. Your first priority is enabling the AI Platform Engineering team, which depends on a reliable data foundation to deliver on the company’s top strategic priority. Beyond AI, the data platform will serve engineering, programs, manufacturing, and business operations across the company. This is a player-coach role. You will be writing code and making architecture decisions on day one while simultaneously hiring and developing a high-performing team.    RESPONSIBILITIES   Build the data engineering function from zero: design the data platform architecture, stand up the initial infrastructure, and start delivering value before the team is fully hired  Hire and lead a team of 5 data engineers, recruiting top-tier technical talent who thrive in ambiguous, fast-moving environments  Design and build the company’s data warehouse, unified data model, and pipeline infrastructure, connecting systems like PLM (Teamcenter), ERP (NetSuite), Jira, Git, and Confluence into a single reliable data layer  Partner closely with the AI Platform Engineering team to provide the data infrastructure they need as a critical-path dependency for the company’s AI strategy  Serve as the technical authority for data architecture decisions during the team’s formative period: technology selection, data modeling patterns, pipeline design, and the foundational choices the rest of the team will build on  Work across the company to understand data needs from engineering, programs, manufacturing, and business operations, and translate those into a platform that serves all of them      QUALIFICATIONS     8+ years of experience in data engineering, data infrastructure, or related fields, with 3+ years building and leading data engineering teams  Strong hands-on skills in modern data stack technologies: data warehousing (Snowflake, BigQuery, Redshift, or similar), ETL/ELT pipelines, data modeling, and orchestration tools (Airflow, Dagster, or similar)  Experience building data platforms from scratch, not just maintaining or extending existing ones  Track record of hiring and developing high-performing engineering teams in fast-paced environments  Ability to work across the full stack of data engineering: from source system connectivity and pipeline reliability to data modeling and serving layer design  Strong communication skills and comfort working with stakeholders across technical and non-technical functions to understand requirements and set priorities      PREFERRED SKILLS AND EXPERIENCE   Experience in aerospace, defense, or manufacturing environments where data spans engineering tools (PLM, MBSE, CAD/CAM) a