Job description

Standard Job Description Join Lockheed Martin’s Data & AI Enablement organization and accelerate the company’s AI transformation. As a lead data architect, you will drive the creation of logical data models that underpin our next‑generation data products and enterprise ontology. You will partner with Data Product Owners by architecting data models, data pipelines and ontologies, and ensure consistent semantic definitions across the Enterprise Data Ecosystem (EDE). The role operates in a Databricks‑centric environment, integrating source systems such as SAP and Apriso upstream, and powering AI agents and analytics applications downstream. By governing and expanding the semantic layer of the corporate data foundation, you will play a key role in the company’s AI transformation. Key Responsibilities • Partner with Data Product Owners to capture business requirements and create robust logical data models. • Design federated ontologies and knowledge‑graph structures that enrich data products and support AI agents, AI reasoning, and analytics applications. • Ensure models deliver clean, well‑documented feature sets for machine‑learning pipelines; work with data scientists to embed model‑ready attributes (feature stores, lineage metadata). • Define logical representations for SAP, Apriso, and other source systems and guide ingestion patterns that preserve semantic integrity. • Produce architecture artifacts (diagrams, data dictionaries, ontology catalogs) and enforce data‑quality, security, and lineage standards. • Design data entities in a way so that they can be productized to ensure they meet the requirements of their documented use cases. • Collaborate with the Lead Data Engineer to validate designs. • Continuously improve modeling processes, promote ontology reuse, and stay current on semantic‑modeling and Databricks advancements. • 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. • 10 + years of large-scale data architecture/engineering experience, with at least 5 years focused on productizing data assets for enterprise consumption. • Significant experience designing/operationalizing 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): $185400.00 - $344400.00 • 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): $166900.00 - $309900.00 • Includes metropolitan areas such as Denver, CO; King of Prussia, PA; Stratford, CT; Moorestown, NJ; etc. • Full-time salary range (GEOZONE 3): $148300.00 - $275500.00 • Includes metropolitan areas such as Dallas–Fort Worth, TX; Orlando, FL; Grand Prairie, TX; Marietta, GA; etc. • Full-time salary range (GEOZONE 4): $133500.00 - $247900.00 • 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
Partner with Data Product Owners to capture business requirements and create robust logical data models.
Design federated ontologies and knowledge‑graph structures that enrich data products and support AI agents, AI reasoning, and analytics applications.
Ensure models deliver clean, well‑documented feature sets for machine‑learning pipelines; work with data scientists to embed model‑ready attributes (feature stores, lineage metadata).
Define logical representations for SAP, Apriso, and other source systems and guide ingestion patterns that preserve semantic integrity.
Produce architecture artifacts (diagrams, data dictionaries, ontology catalogs) and enforce data‑quality, security, and lineage standards.
Design data entities in a way so that they can be productized to ensure they meet the requirements of their documented use cases.
Collaborate with the Lead Data Engineer to validate designs.
Continuously improve modeling processes, promote ontology reuse, and stay current on semantic‑modeling and Databricks advancements.
Advise on the technology stack used in team operations.
Bachelor’s (or higher) in Computer Science, Systems Engineering, Information Management, or a related field.
10 + years of large-scale data architecture/engineering experience, with at least 5 years focused on productizing data assets for enterprise consumption.
Significant experience designing/operationalizing 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.

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

Application prep

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Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Pto

Paid Time Off

Parental Leave