Senior Data Platform Engineer - Enterprise Systems

About the role

Astranis builds advanced satellites for high orbits, expanding humanity’s reach into the solar system. Today Astranis satellites provide dedicated, secure networks to highly‑sophisticated customers across the globe – large enterprises, sovereign governments, and the US military. With five satellites on orbit and many more set to launch soon, the company is servicing a backlog of more than $1 billion of commercial contracts. Astranis is the preferred satellite communications partner for buyers with stringent requirements for uptime, data security, network visibility, and customization. Astranis has raised over $1.2 billion from some of the world’s best investors, including Andreessen Horowitz, Baillie Gifford, Blackrock, Fidelity, Franklin Templeton, and Snowpoint, and employs a team of 500 engineers and entrepreneurs. Astranis designs, builds, and operates its satellites out of its 153,000 sq. ft. headquarters in Northern California, USA.

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.

Responsibilities

• 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.

Requirements

• 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).

Skills

• Experience building data integrations around hardware, PLM, MES, or ERP platforms (Altium, Arena, First Resonance ION, NetSuite).
• Background working in hardware‑centric environments such as aerospace, automotive, robotics, or complex precision manufacturing.
• Experience designing, building, and maintaining robust APIs (RESTful, gRPC) and cloud infrastructure (Docker, Kubernetes/GKE, GCP).

Benefits

• Equity package via incentive stock options.
• High‑quality company‑subsidized healthcare.
• Disability and life insurance.
• 401(k) retirement planning.
• Flexible PTO.
• Free on‑site catered meals.

Pay

Base Salary $145,000—$210,000 USD.