Senior Manager, Data Engineering

<div class="content-intro"><p class="ms-outlook-mobile-reference-message">Space is a warfighting domain. True Anomaly seeks those with the talent and ambition to build the technology that secures it.</p> <p class="ms-outlook-mobile-reference-message"><u>OUR MISSION</u></p> <p class="ms-outlook-mobile-reference-message">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.</p> <p class="ms-outlook-mobile-reference-message"><u>OUR VALUES</u></p> <ul> <li class="ms-outlook-mobile-reference-message"><strong>Be the offset.</strong><span class="Apple-converted-space"> </span>We create asymmetric advantages with creativity and ingenuity.</li> <li class="ms-outlook-mobile-reference-message"><strong>What would it take?</strong> We challenge assumptions to deliver ambitious results.</li> <li class="ms-outlook-mobile-reference-message"><strong>It’s the people.</strong> Our team is our competitive advantage and we are better together.</li> </ul></div><p><u>YOUR MISSION</u> </p> <p>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. </p> <p> </p> <p><strong>RESPONSIBILITIES</strong> </p> <ul> <li>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 </li> </ul> <ul> <li>Hire and lead a team of 5 data engineers, recruiting top-tier technical talent who thrive in ambiguous, fast-moving environments </li> </ul> <ul> <li>Design and build the company’s