Senior Data Platform Engineer, Astranis

• Bachelor’s degree in Computer Science, Electrical Engineering, or equivalent technical experience
• 5+ years of professional software/data engineering experience with a focus on data infrastructure, data platforms, or backend engineering
• Strong proficiency with Python and solid software design fundamentals
• Proven experience implementing RBAC, Data Governance, and Schema Evolution/Migration strategies in production environments
• Deep database expertise in transactional, relational databases (PostgreSQL schema design, OLTP workflows) as well as columnar databases and analytical data warehouses (BigQuery, Snowflake)
• Experience with modern data orchestration and modeling tools (e.g., dbt, Airflow, Prefect, Dagster)
• U.S. Citizenship, Lawful Permanent Residency, or Refugee/Asylee Status Required
• (To comply with U.S. Government space technology export regulations, applicant must be a U.S. citizen, lawful permanent resident of the United States, or other protected individual as defined by 8 U.S.C. 1324b(a)(3))

Desirable

• Astranis is scaling satellite production at a record pace
• Building constellations of commercial geostationary spacecraft generates massive amounts of telemetry, manufacturing, supply chain, and application data
• To keep our engineers moving fast, we need a unified, scalable data platform and observability infrastructure that brings clarity to every operational detail from the factory floor to launch
• We’re looking for a Senior Data Platform Engineer to define, architect, and build our core data architecture, unified logging pipelines, and internal data tools
• You will conduct hands-on customer discovery across hardware, software, and operational teams to turn complex requirements into production-ready software tools and establish clear architectural patterns across our data stack
• If you're a platform engineer who thrives on customer discovery, systems architecture, and turning raw data into intelligence to scale our fleet, come build with us
• Architectural Strategy & Tooling: Define our overarching data architecture, ingestion, storage, and access patterns separating transactional databases (Managed Postgres) from centralized analytical warehouses (BigQuery, Snowflake)
• Internal Customer Discovery & Project Design: Conduct discovery across the company, working with aerospace engineers, technicians, finance, sales, and software teams to gather requirements and build robust backend data tools and platforms
• Enterprise Analytics Engine: Build standardized data pipelines and modeling frameworks (dbt) that stitch together telemetry, supply chain, factory floor (ION), and ERP (NetSuite) data into unified analytical stores for cross-functional reporting
• Unified Logging & Observability Platform: Build end-to-end pipelines to collect, normalize, and query structured logs, traces, and hardware telemetry across backend services and factory testbeds for real-time system monitoring and debugging
• Governance & Access Control: Establish corporate data governance frameworks, Role-Based Access Control (RBAC), and robust schema evolution strategies to guarantee data security, quality, and backward compatibility