Senior Manager, Data Engineering

Trueanomalyinc; California (MO); On-site; USD 165,000 - 250,000; Full time

Benefits offered by this job

Health, Dental, and Vision benefits

401(k)

Parental Leave

Equity options

Job summary

Trueanomalyinc is looking for a Senior Manager of Data Engineering who will build a robust data platform from scratch. This role involves leading a team, managing the architecture, and creating solutions for various departments across the company.

The ideal candidate will have at least 8 years of data engineering experience and a strong familiarity with data warehousing technologies and pipeline management. The position requires excellent leadership and communication skills.

Qualifications

• 8+ years of experience in data engineering, data infrastructure, or related fields.
• Experience building data platforms from scratch.
• Strong hands-on skills in modern data stack technologies.

Responsibilities

• Build the data engineering function from zero and deliver immediate value.
• Hire and lead a team of 5 data engineers.
• Design and build the company’s data warehouse and unified data model.

Skills

Data warehousing expertise

ETL/ELT pipelines

Data modeling skills

Leadership experience

Strong communication skills

Education

8+ years of experience in data engineering or related fields

Tools

Snowflake

Airflow

BigQuery

Redshift

Job description

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, set up 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 – $165,000 to $230,000; Denver – $160,000 to $220,000; SF Bay Area – $185,000 to $250,000.
• Equity and Benefits: Health, Dental, Vision, HRA/HSA options, PTO and paid holidays, 401(k), Parental Leave.

ADDITIONAL REQUIREMENTS

• U.S. citizenship required; clearance eligibility required; active clearance at any level preferred.
• Work Location: this role will be fully onsite at facilities in Centennial, CO, Long Beach, CA, or SF Bay Area, CA.
• Work environment is a standard office or production factory setting.
• Physical demands may include frequent standing, walking, bending, and lifting or carrying items up to 20 lbs.

To comply with U.S. Government space technology export regulations, you must be a U.S. citizen, lawful permanent resident of the U.S., or eligible to obtain the required authorizations from the U.S. Department of State.

True Anomaly is committed to equal employment opportunity regardless of sex, race, religion, disability, age, citizenship, marital status, sexual orientation, gender identity or any other basis protected by applicable law. If you have a disability or additional need that requires accommodation, please let us know.