# Senior Data Platform Engineer - Enterprise Systems at Astranis

> United States · Senior · Backend · open. Source: https://alderhq.app/jobs/greenhouse%3Aastranis%3A4713723006 (read 2026-11-05).

## Facts (observed)

- Company: [Astranis](https://alderhq.app/companies/astranis)
- Location text: San Francisco; San Francisco
- Where it can be done from (inferred): United States (evidence: "Location: San Francisco; San Francisco")
- Posted: 2026-09-18 (48 days ago)
- First seen by alder: 2026-11-02 · last verified: 2026-11-04
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://job-boards.greenhouse.io/astranis/jobs/4713723006
- Skills listed (inferred): Python, PostgreSQL, Airflow, Snowflake, dbt

## Pay and sponsorship

- Posted pay: $145k–$210k per year (from the listing's pay field)
- Market band for similar posted roles (SF Bay Area, n 94): p25 $195k, median $213k, p75 $230k

## Description (the employer's text)

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.

### 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).

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/greenhouse%3Aastranis%3A4713723006 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.