Staff Data Architect
Core
Designing and implementing scalable enterprise data infrastructure and AI-driven capabilities for the design and build of artificial-gravity human-rated space stations.
Role type
Staff Data Architect
Builds
Data lakes, warehouses, real-time streaming platforms, and production-grade data pipelines for engineering analysis, manufacturing optimization, and supply chain intelligence.
Domain
Aerospace / Space Exploration / Manufacturing
Deliverable
production ML models | product features | infrastructure
Required skills
Enterprise data architecture, SQL, Python, Cloud data platforms (AWS/Azure/GCP), Modern data processing frameworks (Spark/Kafka/Airflow), Data warehousing (Snowflake/Databricks/BigQuery/Redshift), MLOps, Data governance
Preferred skills
Manufacturing/aerospace industry experience, PLM/MES/ERP integration, Vector databases/knowledge graphs, DevOps/DataOps practices, Real-time streaming architectures, Digital twin architectures
Technologies
Apache Spark, Kafka, Airflow, Snowflake, Databricks, BigQuery, Redshift, Terraform, CloudFormation, Docker, Kubernetes, Teamcenter, NetSuite, SAP
Responsibilities
Design and implement scalable enterprise data infrastructure; Build and maintain robust data pipelines for AI/ML tools; Own end-to-end data architecture from ingestion to consumption; Integrate data from engineering, manufacturing, ERP, and IoT systems; Create innovative data solutions enabling AI/ML capabilities; Establish data governance frameworks; Implement MLOps infrastructure; Build real-time data pipelines from shop floor systems; Lead and mentor a high-performing data engineering team; Provide technical leadership and strategic guidance to executive leadership.
Seniority
Staff, technical leadership & mentorship