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Salary: USD 145,000 - 210,000 / annual
Astranis builds advanced satellites for high orbits, serving large enterprises, sovereign governments, and the US military. With five satellites on orbit and a backlog exceeding $1 billion in commercial contracts, the company is scaling satellite production at record pace.
You will define, architect, and build Astranis's core data architecture, unified logging pipelines, and internal data tools. This is a hands-on role requiring customer discovery across hardware, software, and operational teams to translate complex requirements into production-ready software.
Key responsibilities include:
• Architectural Strategy & Tooling: Define the 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 integrate 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 ensure 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 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) and columnar databases/analytical data warehouses (BigQuery, Snowflake)
• Experience with modern data orchestration and modeling tools (dbt, Airflow, Prefect, Dagster)
Bonus qualifications:
• Prior experience building data integrations around hardware, PLM, MES, or ERP platforms (Altium, Arena, First Resonance ION, NetSuite)
• Background in aerospace, automotive, robotics, or complex precision manufacturing
• Experience designing and maintaining robust APIs (RESTful, gRPC) and cloud infrastructure (Docker, Kubernetes/GKE, GCP)
