22 часа назад
Staff Data Architect
155 800 - 221 160$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Staff Data Architect (AI/ML): Designing and implementing enterprise data infrastructure, pipelines, and MLOps capabilities for engineering, manufacturing, supply chain, and AI-driven space-station development with an accent on scalable architecture, real-time streaming, data governance, and data quality. Focus on integrating PLM, MES, ERP, IoT, and operational technology systems, optimizing mission-critical data platforms, and leading data engineering teams.
Location: Long Beach, California, United States; onsite. Travel to other facilities or vendor sites may be required up to 10% of the time.
Salary: $155,800–$221,160 USD per year in California.
Company
develops next-generation commercial space stations for continuous human presence in space, microgravity research and manufacturing, and the emerging space economy.
What you will do
- Design and implement scalable enterprise data infrastructure, including data lakes, warehouses, real-time streaming platforms, and production pipelines.
- Own data architecture from ingestion through transformation and consumption, ensuring data quality, reliability, security, observability, and disaster recovery.
- Integrate PLM, MES/MOM, ERP, IoT, sensor, shop-floor, test-equipment, and operational technology data.
- Build data solutions and MLOps infrastructure supporting AI/ML model training, deployment, monitoring, engineering analysis, manufacturing optimization, and supply-chain intelligence.
- Establish data governance, architecture standards, and modern data practices while optimizing performance, cost, and scalability.
- Lead and mentor a data engineering team and provide strategic technical guidance to executive leadership and cross-functional teams.
Requirements
- Bachelor’s degree in Computer Science, Data Engineering, Computer Engineering, or equivalent experience.
- 8+ years of experience in data engineering, data architecture, or a related field, including 3+ years in technical leadership.
- Enterprise-scale data infrastructure and production pipeline experience, with expert-level SQL and Python skills.
- Hands-on experience with AWS, Azure, or GCP and data-processing frameworks such as Apache Spark, Kafka, or Airflow.
- Experience with data warehousing technologies such as Snowflake, Databricks, BigQuery, or Redshift, plus production data infrastructure for AI/ML initiatives.
- Must be a U.S. citizen, lawful permanent resident, protected individual, or otherwise eligible for required U.S. Department of State export-control authorizations.
Nice to have
- Experience in manufacturing, aerospace, defense, or other hardware-intensive industries.
- PLM, ERP, and MES integration experience, including Teamcenter, Windchill, NetSuite, SAP, or similar systems.
- MLOps tools, feature stores, real-time streaming, event-driven systems, vector databases, knowledge graphs, AI/LLM architectures, digital twins, or simulation data management.
- DevOps/DataOps practices, including CI/CD, infrastructure as code, Docker, and Kubernetes.
- Data security, compliance, governance, dimensional modeling, data vault methodology, or open-source data engineering experience.
Culture & Benefits
- Full-time exempt employment with company equity.
- Medical, dental, and vision coverage for employees and dependents.
- Paid time off, paid parental leave, disability insurance, life insurance, and access to a 401(k) retirement plan.
- Support for critical mission milestones may require extended hours or weekends.
- Food perks including snacks, coffee, drinks, dinner meals, and subsidized lunch, plus ClassPass credits and personalized mental healthcare.
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