Senior Manager, Data Engineering at True Anomaly

Long Beach, California, United States -

Full Time

Start Date

Immediate

Expiry Date

03 Jul, 26

Salary

290000.0

Posted On

04 Apr, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data engineering, Data warehousing, ETL/ELT pipelines, Data modeling, Orchestration tools, Team leadership, Architecture design, Snowflake, BigQuery, Redshift, Airflow, Dagster, System integration, Strategic planning, Technical recruiting, Data infrastructure

Industry

Defense and Space Manufacturing

Description

A new space race has begun. True Anomaly seeks those with the talent and ambition to build innovative technology that solves the next generation of engineering, manufacturing, and operational challenges for space security and sustainability. OUR MISSION The peaceful use of space is essential for continued prosperity on Earth—from communications and finance to navigation and logistics. True Anomaly builds innovative technology at the intersection of spacecraft, software, and AI to enhance the capabilities of the U.S., its allies, and commercial partners. We safeguard global security by ensuring space access and sustainability for all. 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) and enterprise systems (ERP, project management) Background working with AI/ML teams as a data platform provider, with an understanding of what those teams need from the data layer Experience connecting complex, heterogeneous source systems with different schemas, update cadences, and access patterns Familiarity with data governance and data quality practices, and experience building organizational trust in data products Prior experience at a company poised for aggressive growth where the data platform had to scale ahead of demand Active U.S. security clearance at any level COMPENSATION Base Salary: Long Beach - $210,000 to $290,000, Denver - $200,000 to $280,000 Equity + Benefits including Health, Dental, Vision, HRA/HSA options, PTO and paid holidays, 401K, Parental Leave Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education and experience. ADDITIONAL REQUIREMENTS U.S. citizenship required; clearance eligibility required; active clearance at any level preferred Work Location: this role will be fully onsite at our facilities in Centennial, CO or Long Beach, CA Work environment is in a standard office, working at a desk or in a production factory. Physical demands may include frequent standing, sitting, walking, bending, and lifting or carrying items up to 20lbs. This position will be open until it is successfully filled. To submit your application, please follow the directions below. #LI-Onsite To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (IT AR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State. We value diversity of experience, knowledge, backgrounds and perspectives and harness these qualities to create extraordinary impact. True Anomaly is committed to equal employment opportunity regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, pregnancy, maternity or related condition (including breastfeeding) or any other basis as protected by applicable law. If you have a disability or additional need that requires accommodation, please do not hesitate to let us know. To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State. True Anomaly is committed to equal employment opportunity on any basis protected by applicable state and federal laws. If you have a disability or additional need that requires accommodation, please do not hesitate to let us.

Responsibilities

You will build the company's data engineering function from scratch, including designing the platform architecture and establishing the initial infrastructure. Additionally, you will hire and lead a team of five data engineers while serving as the technical authority for data modeling and pipeline design.