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# Data Architect Mgr - L5

- **Company:** Lockheed Martin
- **Location:** Topeka, KS, United States
- **Experience:** Experienced
- **Salary:** $185,400.0 - $344,400.0
- **Contract:** Permanent contract
- **Skills:** Systems Engineering, Data Architecture, Information Engineering, Graph Database, Information Management, Software Engineering, Information Technology, Virtual Agents, Databricks
- **Published:** September 11, 2026
- **Apply:** https://www.techcareers.com/job.asp?id=3386405701&tx=KP9595FFU&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* Bachelor's (or higher) in Computer Science, Systems Engineering, Information Management, or a related field.
 * 8 + years of experience working in data engineering/analysis/science, with at least 2 years of experience working in management.
 * 3 + years of experience delivering concrete business value through technical ownership of portions of an enterprise data platforms.
 * Proven ability to influence stakeholders and motivate action through superior communication and relationship building skills
 * Demonstrated ability to apply strategic thinking to solve programmatic issues.
 * Demonstrated ability to deliver business value through optimizing engineering operations and plans.

Desired Skills

 * Experience productizing data sets for enterprise consumption.
 * Experience operationalizing ontologies, taxonomies, or knowledge graphs that enable AI agent operations.
 * Experience facilitating cross-functional workshops.
 * Experience with use case-driven software development.
 * Excellent interpersonal and collaboration skills for cross-functional teamwork and internal-customer support.
 * Master's degree or advanced technical training.
 * Experience with Databricks and/or medallion data architectures.
 * Experience implementing data access controls in complex systems.
 * Hands-on experience using genAI to solve business problems.

## Description

* Work with functional partners to create enterprise data products that provide maximal value to the corporation.
 * Build relationships with key stakeholders to ensure their support for the team's mission.
 * Ensure data product alignment with enterprise ontology standards and guardrails.
 * Work with functional partners to produce validation tests for enterprise ontologies.
 * Develop strategies to enable team to overcome obstacles in building the corporation's data foundations.
 * Optimize team operations to maximize quality and efficiency.
 * Optimize the work experience of our team's architects and engineers, and enable them to grow their careers in the directions they wish.
 * Identify and hire new talent for the team.


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