<div class="content-intro"><p>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. </p> <p>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.</p> <p>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.</p></div><div class="section page-centered"> <div class="section page-centered"> <p><strong>Senior Data Platform Engineer - Enterprise Systems</strong></p> <p>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.</p> <p>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.</p> <p>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.</p> <p><strong>Role </strong></p> <p><strong>What You’ll Build:</strong></p> <ul> <li><strong>Architectural Strategy & Tooling:</strong> Define our overarching data architecture, ingestion, storage, and access patterns separating transactional databases (Managed Postgres) from centralized analytical warehouses (BigQuery, Snowflake).</li> <li><strong>Internal Customer Discovery & Project Design:</strong> 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.</li> <li><strong>Enterprise Analytics Engine:</strong> 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.</li> <li><strong>Unified Logging & Observability Platform:</strong> 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.<strong><br></strong></li> <li><strong>Governance & Access Control:</strong> Establish corporate data governance frameworks, Role-Based Access Control (RBAC), and robust schema evolution strategies to guarantee data security, quality, and backward compatibility.</li> </ul> <p><strong>Requirements</strong></p> <ul> <li>Bachelor’s degree in Computer Science, Electrical Engineering, or equivalent technical experience.</li> <li>5+ years of professional software/data engineering experience with a focus on data infrastructure, data platforms, or backend engineering.</li> <li>Strong proficiency with Python and solid software design fundamentals.</li> <li>Proven experience implementing RBAC, Data Governance, and Schema Evolution/Migration strategies in production environments.</li> <li>Deep database expertise in transactional, relational databases (PostgreSQL schema design, OLTP workflows) as well as columnar databases and analytical data warehouses (BigQuery, Snowflake).</li> <li>Experience with modern data orchestration and modeling tools (e.g., dbt, Airflow, Prefect, Dagster).</li> </ul> <p><strong>Bonus</strong></p> <ul> <li>Domain Tools & Integrations: Prior experience building data integrations around hardware, PLM, MES, or ERP platforms (Altium, Arena, First Resonance ION, NetSuite).</li> <li>Aerospace & Manufacturing: Background working in hardware-centric environments such as aerospace, automotive, robotics, or complex precision manufacturing.</li> <li>APIs & Infrastructure: Experience designing, building, and maintaining robust APIs (RESTful, gRPC) and cloud infrastructure (Docker, Kubernetes/GKE, GCP).</li> </ul> </div> </div><div class="content-pay-transparency"><div class="pay-input"><div class="description"><div><strong>What we offer: </strong></div> <div> </div> <div>All our positions offer a compensation package that includes equity and robust benefits.</div> <div> </div> <div> <p data-path-to-node="3">Base pay is just one component of Astranis’s total rewards package. Your compensation also includes a significant equity package via