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# Data Engineer Asc Mgr - L4

- **Company:** Lockheed Martin
- **Location:** Fort Worth, TX, United States
- **Experience:** Experienced
- **Salary:** $104,900.0 - $194,700.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Business Analytics Applications, Systems Engineering, Authentication Protocols, Cloud Computing, Databases, Data Architecture, Data Governance, Extract Transform Load (ETL), Data Systems, Data Virtualization, Data Warehousing, Python (Programming Language), Machine Learning, Scrum Methodology, Power BI, Software Engineering, SQL Databases, Tableau (Software), Data Processing, Information Technology, Data Analytics, Data Objects, Physical Data Models, Looker Analytics, Data Pipelines
- **Published:** September 3, 2026
- **Apply:** https://www.clearancejobs.com/jobs/9137295/data-engineer-asc-mgr-l4

## About the Role

* Bachelor's degree in Business, Computer Science, Data Science, or related field
 * 5+ years of experience in product management or product ownership
 * 3+ years of people management experience with direct reports
 * 3+ years of experience with data analytics, business intelligence, or data products
 * Proven experience with Agile/Scrum methodologies and serving as a Product Owner
 * Strong understanding of data analytics concepts, technologies, and best practices
 * Demonstrated ability to manage complex stakeholder relationships across technical and business teams
 * Experience with resource planning, capacity management, and budget oversight
 * Experience defining product roadmaps and translating business needs into technical requirements

Desired Skills

 * Product management certification (CSPO, SAFe PO/PM, or similar)
 * Experience with modern analytics platforms (Tableau, Power BI, Looker, etc.)
 * Technical background in SQL, Python, or data modeling
 * Knowledge of data governance, privacy, and compliance requirements
 * Experience with advanced analytics, machine learning, or AI products
 * Familiarity with data warehousing, ETL/ELT processes, and data architecture
 * Track record of delivering products that achieved measurable business outcomes
 * Strong analytical and problem-solving abilities
 * Ability to work effectively in a fast-paced, dynamic environment

## Description

Leads delivery of full-stack data solutions across the entire data processing pipeline. This relies on systems engineering principles to design and implement solutions that span the data lifecycle to: collect, ingest, process, store, persist, access, and deliver data at scale and at speed. It includes knowledge of local, distributed, and cloud-based technologies; data virtualization and smart caching; and all security and authentication mechanisms required to protect the data.Leads those building data pipelines that clean, transform, and aggregate unorganized data into databases or data sources that are ready for analysis; Design and implement data solutions by defining functional capabilities, security, back-up, and recovery specifications; Work through all stages of a data solution lifecycle, e.g., analyze / profile data, create conceptual, logical and physical data model designs, architect and design ETL, reporting and analytics; Maintain data systems performance by identifying and
resolving production and application development problems; calculating optimum values for parameters; evaluating, integrating, and installing new releases; Define standards, best practices, and certification processes for data objects


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