# Senior Data Platform Engineer - Enterprise Systems

**Company**: Astranis
**Location**: San Francisco
**Experience**: senior
**Job type**: full-time
**Salary**: $145,000-$210,000 USD
**Category**: Engineering
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q96372482

**Apply**: https://job-boards.greenhouse.io/astranis/jobs/4713723006?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_b94f5876-c8a

## Description

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.

### Role

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.

### 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).

### What We Offer

All our positions offer a compensation package that includes equity and robust benefits.

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.

The base salary range for this position is $145,000-$210,000 USD.

## Skills

### Required
- Python
- software design
- data infrastructure
- data platforms
- backend engineering
- RBAC
- Data Governance
- Schema Evolution/Migration
- PostgreSQL
- BigQuery
- Snowflake
- dbt
- Airflow
- Prefect
- Dagster

### Nice to have
- hardware
- PLM
- MES
- ERP
- aerospace
- automotive
- robotics
- complex precision manufacturing
- APIs
- cloud infrastructure

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/astranis/jobs/4713723006?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)