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 $750 million from some of the world’s best investors, from Andreessen Horowitz to Blackrock and Fidelity, and employs a team of 450 engineers and entrepreneurs. Astranis designs, builds, and operates its satellites out of its 153,000 sq. ft. headquarters in Northern California, USA.
Senior Data Platform Engineer - Enterprise Systems
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.
Role
What You’ll Build:
- 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).
Bonus
- Domain Tools & Integrations: Prior experience building data integrations around hardware, PLM, MES, or ERP platforms (Altium, Arena, First Resonance ION, NetSuite).
- Aerospace & Manufacturing: Background working in hardware-centric environments such as aerospace, automotive, robotics, or complex precision manufacturing.
- APIs & Infrastructure: Experience designing, building, and maintaining robust APIs (RESTful, gRPC) and cloud infrastructure (Docker, Kubernetes/GKE, GCP).
Base pay is just one component of Astranis’s total rewards package. Your compensation also includes a significant equity package via incentive stock options, high-quality company-subsidized healthcare, disability and life insurance, 401(k) retirement planning, flexible PTO, and free on-site catered meals.
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Skills Required
- Bachelor's degree in Computer Science, Electrical Engineering, or equivalent technical experience
- 5+ years of professional software or data engineering experience focused on data infrastructure, data platforms, or backend engineering
- Strong proficiency with Python and solid software design fundamentals
- Production experience implementing role-based access control, data governance, and schema evolution or migration strategies
- Deep expertise with PostgreSQL schema design and OLTP workflows
- Experience with columnar databases and analytical data warehouses, including BigQuery or Snowflake
- Experience with modern data orchestration and modeling tools such as dbt, Airflow, Prefect, or Dagster
- Experience building data integrations around hardware, PLM, MES, or ERP platforms such as Altium, Arena, First Resonance ION, or NetSuite
- Background in aerospace, automotive, robotics, or complex precision manufacturing environments
- Experience designing and maintaining RESTful or gRPC APIs
- Experience with Docker, Kubernetes or GKE, and GCP cloud infrastructure
What We Do
Astranis is building small, low-cost telecommunications satellites. Our mission is to help get online the 4 billion people who are without internet access.
