Senior AI Data Engineer

Requirements Must have:

• Bachelors degree in Computer Science, Data Engineering, Information Systems, or a related STEM discipline.
• Over 5 years of relevant professional experience in data engineering, pipeline development, AI strategy, developer relations, or technical program management.
• Proficiency in Python and SQL for data manipulation, transformation, and automation of pipelines.
• Hands‑on experience with data pipeline/orchestration tools (such as Flyte, Air Byte, Apache Airflow, Prefect, Luigi, or similar).
• Familiarity with relational database systems (including Postgre
  
  SQL, MySQL, or equivalent).
• Strong technical insight into generative AI, developer tools, and contemporary software development practices.
• Exceptional communication and presentation skills, capable of engaging both technical and executive stakeholders.

• Design and implement comprehensive data pipelines that ingest, transform, and deliver data from various enterprise sources to support AI adoption initiatives and analytics.
• Develop ETL/ELT workflows utilizing Python, SQL, Flyte, or similar orchestration tools to manage structured and unstructured data at scale.
• Construct and maintain data models that are optimized for AI/ML training datasets, adoption metrics, and executive dashboards.
• Establish automated data quality checks, validation protocols, and monitoring systems to ensure pipeline reliability and data integrity.
• Build data infrastructure to support AI adoption key performance indicators (KPIs) such as training completion rates, tool utilization, and organizational readiness across over 120,000 employees.
• Create pipelines that aggregate and standardize data from internal AI platforms, providing cohesive adoption reporting.
• Synthesize adoption metrics, developer feedback, and market trends into reports and packages suitable for executive review.
• Develop real‑time and batch data feeds for leadership dashboards that monitor AI maturity across business sectors and initiatives.
• Integrate data from various internal platforms, HR systems, learning management systems, and AI tools into comprehensive, AI‑ready datasets.
• Document data lineage, manage data dictionaries, and uphold governance standards across all pipeline outputs.
• Advocate for AI ethics, security, and trust principles within data workflows and the greater developer community.
• Collaborate with cybersecurity and IT teams to guarantee secure data transfer and storage within both on‑premises and classified environments.
• Cultivate and maintain an active AI developer community through events, hackathons, and forums focused on data‑driven AI adoption.
• Act as a liaison between developers, data teams, product groups, and leadership to ensure consensus on priorities and direction.
• Contribute to the AI Factory ecosystem by creating reusable data components, integration patterns, and shared services.
• Work closely with engineering leaders to identify gaps in tools and solutions, influencing product direction based on developer insights and adoption metrics.
• Offer technical mentorship to junior team members on best practices in data engineering.

At Lockheed Martin, we are eager to welcome a high-energy AI Adoption Data Specialist to our Artificial Intelligence Center (LAIC). This position is part of a multidisciplinary team dedicated to fostering the adoption and integration of AI tools across the organization. We provide a flexible working environment, offering a full-time remote position with a 4×10 work schedule, allowing you to enjoy three days off each week.

Our comprehensive benefits encompass medical, dental, vision, life insurance, a competitive 401(k) plan, generous paid time off, education assistance, and much more. We prioritize our employees wellbeing and career progression, nurturing an inclusive environment built on integrity and corporate responsibility. Join us in advancing purposeful innovation to address complex challenges.