Senior Data Platform Engineer - Enterprise Systems

<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. 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.<br><br>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.</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 &amp; 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 &amp; 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 &amp; 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 &amp; 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 &amp; Integrations: Prior experience building data integrations around hardware, PLM, MES, or ERP platforms (Altium, Arena, First Resonance ION, NetSuite).</li> <li>Aerospace &amp; Manufacturing: Background working in hardware-centric environments such as aerospace, automotive, robotics, or complex precision manufacturing.</li> <li>APIs &amp; 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 incentive stock options, high-quality company-subsidized healthcare, disability and life insurance, 401(k) retirement planning, flexible PTO, and free on-site catered meals.</p> </div> <div>Astranis pay ranges are informed and defined through professional-grade salary surveys and compensation data sources. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials &amp; certifications, educational attainment, skill level requirements, and the level and scope of the position.</div></div><div class="title">Base Salary</div><div class="pay-range"><span>$145,000</span><span class="divider">&mdash;</span><span>$210,000 USD</span></div></div></div><div class="content-conclusion"><div><strong>U.S. Citizenship, Lawful Permanent Residency, or Refugee/Asylee Status Required</strong></div> <div>(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))</div> <div> </div> <div>Our mission and products are built for everyone, regardless of gender, race, creed, or background. We believe in a diverse and inclusive workplace, and we invite all people to join our team and bring their unique perspectives to make us stronger.</div> <div> </div> <div style="font-size: 13px;"> <h4 style="margin: 0;"><strong>SMS Terms of Service</strong></h4> <p style="margin: 0;"><br>1. When you opt in to receive SMS messages from <span class="replaceTag 183_companyName138">Astranis Space Technologies Corp.</span>, we may send you messages related to your job application, including updates, interview coordination, and other recruiting communications.<br>2. You can cancel the SMS service at any time by replying with any of the following industry standard keywords:</p> <p style="margin: 0;">a. STOP<br>b. STOPALL<br>c. OPTOUT<br>d. CANCEL<br>e. END<br>f. QUIT<br>g. UNSUBSCRIBE<br>h. REVOKE</p> <p style="margin: 0;">3. After you opt out, we may send one final text message confirming that you have been unsubscribed. No further recruiting SMS messages will be sent unless you opt in again.<br>4. To opt back in, reply with any of the following industry standard keywords:</p> <p style="margin: 0;">a. START<br>b. UNSTOP<br>c. YES</p> <p style="margin: 0;">5. For help, reply HELP or contact us at EMAIL or PHONE NUMBER.<br>6. Carriers are not liable for delayed or undelivered messages.<br>7. Message and data rates may apply. Message frequency may vary. Contact your wireless provider for details.<br>8. For more information on how we handle your data, please review our Privacy Policy at: <span class="replaceTag 183_privacyPolicy">https://www.astranis.com/legal/privacy</span>.</p> </div></div>