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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Platform Engineer - Enterprise Systems - **Company:** Astranis Space Technologies - **Location:** San Francisco, CA, United States - **Experience:** Expert - **Salary:** $145,000.0 - $210,000.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Airflow, Altium Designer, Data Analysis, Architectural Patterns, BigQuery, Cloud Computing, Databases, Data Architecture, Information Engineering, Data Governance, Data Infrastructure, Data Integration, Data Security, Relational Databases, Software Debugging, Python (Programming Language), PostgreSQL, Netsuite, Online Transaction Processing, Role-Based Access Control, Software Tools, Software Engineering, Systems Integration, Enterprise Data Management, Data Logging, Enterprise Software Applications, Real Time Systems, Snowflake, Backend, Core Data, Kubernetes, Information Technology, Data Management, Restful APIs, Grpc, Data Pipelines, Docker - **Published:** September 19, 2026 - **Apply:** https://jobs.localjobnetwork.com/apply/add/88385506/1 ## About the Role * 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). ## Description 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., 1. 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For more information on how we handle your data, please review our Privacy Policy at:https://www.astranis.com/legal/privacy. ## Related Videos - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Docker Compose: Rediscovered](https://www.wearedevelopers.com/videos/1978-docker-compose-rediscovered) - [Exploring the Power of gRPC-Gateway for Writing RESTful Services](https://www.wearedevelopers.com/videos/2072-exploring-the-power-of-grpc-gateway-for-writing-restful-services) - [Enjoying SQL data pipelines with dbt](https://www.wearedevelopers.com/videos/823-enjoying-sql-data-pipelines-with-dbt) - [AI Model Management Life Circles: ML Ops For Generative AI Models From Research to Deployment](https://www.wearedevelopers.com/videos/1152-ai-model-management-life-circles-ml-ops-for-generative-ai-models-from-research-to-deployment) - [Docker build without Docker](https://www.wearedevelopers.com/videos/100114-docker-build-without-docker) ## Related Articles - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [How We Built a Worry-Free System That Runs for 10+ Years – And What We’d Do Again](https://www.wearedevelopers.com/magazine/751-how-we-built-a-worry-free-system-that-runs-for-10-years-and-what-we-d-do-again) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Is Software Engineering Over-Saturated?](https://www.wearedevelopers.com/magazine/418-is-software-engineering-over-saturated) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers)