Senior Data Platform Engineer - Enterprise Systems New San Francisco

Astranis; San Francisco, Northern (CA, KY); Hybrid; USD 145,000 - 210,000; Full time

Benefits offered by this job

Equity in compensation package

Health insurance

Disability & life insurance

401(k) retirement plan

Flexible PTO

Free on-site catered meals

Job summary

Astranis is scaling its satellite data platform and seeking a Senior Data Platform Engineer to define, architect, and build core data architecture and observability tooling. You will work across hardware, software, and operations teams to turn complex requirements into production-grade data tools.

You will design ingestion, storage, and access patterns, implement governance models, and build standardized pipelines linking telemetry, supply chain, factory floor data, and ERP sources for

Qualifications

• 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).

Responsibilities

• Architect data architecture, ingestion, storage, and access patterns separating transactional databases (OLTP) from analytical warehouses (BigQuery, Snowflake).
• Conduct internal discovery across aerospace engineers, technicians, finance, sales, and software teams to gather requirements for backend data tools and platforms.
• Build standardized data pipelines and modeling frameworks (dbt) that stitch telemetry, supply chain, factory, and ERP data into unified analytical stores.
• Create end-to-end logging and observability pipelines to collect, normalize, and query logs, traces, and telemetry for real-time monitoring.
• Establish corporate data governance, RBAC, and schema evolution strategies to ensure data security and quality.

Skills

Python

RBAC

Data Governance

Schema Evolution

PostgreSQL

OLTP

Education

Bachelor's degree in Computer Science, Electrical Engineering, or equivalent

Tools

PostgreSQL

BigQuery

Snowflake

dbt

Airflow

Prefect

Dagster

Docker

Kubernetes

GKE

GCP

RESTful

gRPC

Job 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.

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.

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).

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.

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 & certifications, educational attainment, skill level requirements, and the level and scope of the position.

$145,000 - $210,000 USD

U.S. Citizenship, Lawful Permanent Residency, or Refugee/Asylee Status Required

(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))

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.