Join Lockheed Martin’s Data & AI Enablement organization and accelerate the company’s AI transformation. As a lead data engineer, you will design, build, and productize data assets that power AI agents, analytics, and enterprise applications across the Enterprise Data Ecosystem (EDE). In addition, you will lead the development, governance, and expansion of the enterprise ontology, ensuring consistent semantic definitions and relationships across all data products.
Key Responsibilities
- Lead end‑to‑end development of corporate and functional data models and pipelines – from raw data ingestion from source systems to gold-layer entities - so that they can be productized as certified data products.
- Define product vision, roadmap, SLAs, usage metrics, and continuous‑improvement cycles for all data assets.
- Develop, maintain, and govern the Enterprise ontology (concepts, relationships, taxonomies) and deploy it for use by AI agents and analytics applications across the corporation.
- Ensure data models deliver clean, well‑documented feature sets for machine‑learning pipelines; work with data scientists to embed model‑ready attributes (feature stores, lineage metadata).
- Implement security, governance, and compliance (encryption, fine‑grained access, data lineage) via Unity Catalog and cloud IAM
- Collaborate with team architects to validate designs.
- Optimize Databricks performance with auto‑scaling, caching, and Delta Lake tuning.
- Establish standards, best practices, and certification processes for data products and ontology assets.
- Mentor and develop engineering talent through code reviews, hands‑on workshops, paired‑programming, and defined growth paths/competency matrices.
- Advise on the technology stack used in team operations.
- Bachelor’s (or higher) in Computer Science, Systems Engineering, Information Management, or a related field.
- 7 + years of large-scale data architecture/engineering experience, with at least 4 years focused on productizing data assets for enterprise consumption.
- Significant experience developing ontologies.
- Demonstrated ability to probe for and understand core customer needs as opposed to surface-level needs.
- Strong programming skills in Python and SQL; proficient with Spark (PySpark/Scala) and deep experience with AI-assisted development..
- Experience with data‑integration/orchestration tools (e.g., NiFi, Airflow) for pipeline development.
- Must be a US citizen.
- Experience with Databricks (Delta Lake, Unity Catalog, Jobs/Workflows).
- Experience with federated data models and ontologies.
- Excellent interpersonal and collaboration skills for cross‑functional teamwork and internal‑customer support.
- Master’s degree or advanced technical training (optional).
- Databricks certifications (Data Engineer Associate/Professional) or comparable big‑data credentials.
- Experience developing applications leveraging genAI.
Pay Information
GeoZone Definition: GeoZones are geographic groupings created by Lockheed Martin to align compensation ranges with regional labor markets and cost-of-labor differences across the United States. Locations are assigned a Geo Zone based on the primary work location of the role.
- Full-time salary range (GEOZONE 1): $131100.00 - $243500.00
- Includes metropolitan areas such as Sunnyvale CA; Pal Alto, CA; New York City metropolitan area; Newark, New Jersey; etc.
- Full-time salary range (GEOZONE 2): $118000.00 - $219100.00
- Includes metropolitan areas such as Denver, CO; King of Prussia, PA; Stratford, CT; Moorestown, NJ; etc.
- Full-time salary range (GEOZONE 3): $104900.00 - $194700.00
- Includes metropolitan areas such as Dallas–Fort Worth, TX; Orlando, FL; Grand Prairie, TX; Marietta, GA; etc.
- Full-time salary range (GEOZONE 4): $94400.00 - $175200.00
- Includes metropolitan areas such as Camden, AR; Lexington, KY; Lufkin, TX; etc.
At Lockheed Martin, we know mission success starts with taking care of our people. Our Total Rewards program is designed to attract top talent, support your well-being, and help you grow—both professionally and personally.
The salary range for this position is as listed on the requisition. Please note that the salary information listed is a general guideline only.
Lockheed Martin considers factors such as (but not limited to) scope and responsibilities of the position, candidate's work experience, education/ training, key skills as well as market(work location) and business considerations when extending an offer.
Benefits offered: Medical, Dental, Vision, Flexible work arrangements and schedules (e.g., 4x10), 401(k) match, Paid time off, Holidays, Parental Leave, EAP, Flexible Spending Accounts, Education Assistance, Life Insurance, Short-Term Disability, and Long-Term Disability.
- Annual short-term and/or long-term incentive compensation programs may be offered depending on the position. Payments under these annual programs are not guaranteed and can vary from year to year and are tied to a range of performance metrics.
- For (Washington state applicants only) Non-represented full-time employees: accrue at least 10 hours per month of Paid Time Off (PTO) to be used for incidental absences and other reasons; receive at least 90 hours for holidays. Represented full time employees accrue 6.67 hours of Vacation per month; accrue up to 52 hours of sick leave annually; receive at least 96 hours for holidays. PTO, Vacation, sick leave, and holiday hours are prorated based on start date during the calendar year.
Skills Required
- Bachelor’s degree or higher in Computer Science, Systems Engineering, Information Management, or a related field
- 7+ years of large-scale data architecture or data engineering experience
- At least 4 years of experience productizing data assets for enterprise consumption
- Significant experience developing ontologies
- Ability to understand core customer needs
- Strong programming skills in Python and SQL
- Proficiency with Spark, PySpark, or Scala
- Experience with AI-assisted development
- Experience with data-integration or orchestration tools such as NiFi or Airflow
- Must be a U.S. citizen
- Experience with Databricks, Delta Lake, Unity Catalog, and Jobs/Workflows
- Experience with federated data models and ontologies
- Excellent interpersonal and collaboration skills
- Master’s degree or advanced technical training
- Databricks certifications or comparable big-data credentials
- Experience developing applications leveraging generative AI
Lockheed Martin Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Lockheed Martin and has not been reviewed or approved by Lockheed Martin.
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Retirement Support — Retirement benefits are described as a standout element, with a strong 401(k) program and options like an employee stock purchase plan. Feedback suggests these features meaningfully enhance total compensation and long‑term financial security.
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Healthcare Strength — Healthcare coverage is portrayed as comprehensive from day one, with multiple plan options, mental health resources, and virtual care. Wellness supports such as on‑site services and preventive programs are also highlighted.
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Flexible Benefits — Work arrangements often include compressed schedules and telework, contributing to a favorable work‑life balance. Feedback suggests this flexibility is a key reason many view the overall package positively.
Lockheed Martin Insights
What We Do
Customer Focus, Innovation and Purpose are Built Into Everything We Do. Lockheed Martin. Your Mission is Ours ™. Headquartered in Bethesda, Maryland, Lockheed Martin is a global security and aerospace company principally engaged in the research, design, development, manufacture, integration and sustainment of advanced technology systems, products and services.
