Senior Data Architect

The Aerospace Corporation•El Segundo, CA
•$120,300 - $202,800

About The Position

The Aerospace Corporation’s Office of the CIO has established a Data and AI Services team that provides advanced modeling, machine learning, and predictive analytics to inform enterprise services operations and strategic decision-making. The Senior Data Architect will design, implement, and govern enterprise-scale data solutions supporting operations, including integration of identity management, ERP, digital libraries, and AI-powered knowledge management systems. The role combines data engineering, AI/ML, and enterprise architecture, shaping how the corporation manages and uses data.

Requirements

  • Bachelor's degree in Computer Science, Data Science, Information Systems, or a related field.
  • 8–10+ years of experience in data architecture or data engineering, including 5+ years designing enterprise-scale data solutions.
  • Proven experience with cloud architectures such as AWS, Azure, or GCP; data modeling; data governance; and API design.
  • Hands-on experience with SQL/NoSQL databases such as PostgreSQL, MongoDB, or Neo4j and pipeline orchestration tools such as Airflow or Prefect.
  • Working knowledge of data formats and standards such as JSON, XML, Parquet, and RDF/OWL.
  • Experience addressing AI/ML data requirements, including vector databases and semantic search.
  • Familiarity with data security, encryption, and compliance frameworks.
  • Ability to obtain and maintain a U.S. government-issued security clearance; U.S. citizenship is required to obtain a clearance.

Nice To Haves

  • Master's degree in Computer Science, Data Science, Information Systems, or a related field.
  • Experience with LLM/AI architecture, knowledge graphs, ontologies, and semantic web technologies such as RDF, SPARQL, and OWL.
  • Experience with SAP 4/HANA, Workday, or ServiceNow.
  • Background in aerospace, defense, or government environments.
  • Relevant certifications such as AWS Solutions Architect or Google Data Engineer.
  • Proficiency in Python, Java, or Scala, along with DevOps/Infrastructure-as-Code experience.
  • For the Senior Data Architect V level: at least 10 years in data engineering, software engineering, or a related technical field, and familiarity with streaming data architectures and real-time data processing.

Responsibilities

  • Design enterprise data architecture frameworks integrating identity management, ERP, digital libraries, and AI/ML applications.
  • Develop data models, schemas, and ontologies to enable semantic interoperability and knowledge graphs.
  • Architect data pipelines and semantic layers supporting Graph RAG and AI-driven knowledge management systems.
  • Lead integration architecture for enterprise systems, including ETL/ELT pipelines, real-time synchronization, master data management, and data quality monitoring.
  • Define and enforce governance policies for CUI, proprietary, and classified information, including classification frameworks and role-based access control architectures.
  • Architect scalable, cost-effective solutions for more than 90,000 documents and ongoing growth across cloud, on-premises, and hybrid environments.
  • Partner with IT, cybersecurity, library services, and mission teams.
  • Provide technical leadership and mentorship, and communicate architecture decisions to diverse stakeholders.

Benefits

  • Comprehensive health care and wellness plans.
  • Paid holidays, sick time, and vacation.
  • Standard and alternate work schedules, including telework options.
  • 401(k) plan with company-paid contributions of 8%, 10%, or 12% of eligible compensation based on years of service, plus matching contributions; employees are immediately eligible and vested upon hire.
  • Flexible spending accounts.
  • Variable pay program for exceptional contributions.
  • Relocation assistance.
  • Professional growth and development programs.
  • Education assistance programs.
  • Inclusive work environment built on teamwork, flexibility, and respect.
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