Job description

Standard Job Description 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. Basic Qualifications • 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. Desired Skills • 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.

Requirements

Must-haves

Standard Job Description
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.

Nice-to-haves

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

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Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Pto

Paid Time Off

Parental Leave