Lead Data Architect

• 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.

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.

• 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.