Data Engineer Sr Staff - Level 5

Lockheed Martin; Fort Worth (TX); On-site; USD 129,000 - 240,000; Full time

Benefits offered by this job

Medical, Dental, Vision

401(k) match

Paid time off

Flexible work arrangements

Job summary

Lockheed Martin Aeronautics Quality & Mission Success (Q&MS) seeks a Senior Staff Data Engineer to architect and implement the Q&MS data system and governance patterns. Lead the reference architecture, common data models, and data products for reporting, decision support, and AI uses across federated organizations.

You will mentor data engineers and modelers, align with the Q&MS Digital Transformation Director, and collaborate with enterprise data office and IT to replace fragmented pipelines

Qualifications

• Bachelor's degree in a related technical discipline with 14+ years in data architecture or enterprise data management.
• Ownership of enterprise data-architecture strategy, reference architectures, and common data models.
• Advanced conceptual, logical, and physical data modeling for cross-organizational domains.
• Authored governance artifacts and architecture artifacts and presented to senior governance bodies.
• Ability to obtain and maintain a U.S. DoD Secret clearance (U.S. citizenship required).

Responsibilities

• Establish and maintain the target-state reference architecture across the data-system lifecycle.
• Author and maintain common and canonical data models for semantic interoperability.
• Own the multi-year data-architecture roadmap aligned to the data portfolio plan.
• Define governance patterns and certification criteria for governed data products, pipelines, and interfaces.
• Translate organizational data-management maturity gaps into architectural investments.
• Advise on governance approach for AI enablement – traceability and lineage.
• Mentor Staff and Senior data engineers, modelers, and technical stewards across participating organizations.
• Deliver full-stack data solutions spanning collect to deliver data at scale and speed.

Skills

Data architecture

Enterprise data management

Governance

Data modeling

AI governance

Education

Bachelor's degree in a related technical discipline

Tools

Databricks

Job description

Standard Job Description

Lockheed Martin Aeronautics Quality & Mission Success (Q&MS) is seeking a Senior Staff Data Engineer to lead the architecting and implementation of the Q&MS data system and its supporting data-management plan. Reporting into Quality Performance Management and aligned to the Q&MS Digital Transformation Director, the role establishes the reference architecture, common data models, and governance patterns that consolidate fragmented Q&MS data into governed, value-creating data products fit for reporting, decision support, and approved AI uses. The architect works across a federated operating model spanning multiple participating organizations, replacing fragmented pipelines and definitions with a coherent, measurable data system, and interfaces with the Aeronautics data office, 1LMX, IT, and other intra- and extra-functional teams.

Key Responsibilities

• Establish and maintain the target-state reference architecture across the data-system lifecycle, along with the current-to-target transition architecture.
• Author and maintain common and canonical data models; reconcile them with applicable enterprise and business-unit models to enable semantic interoperability and shared reuse.
• Own the multi-year data-architecture roadmap that feeds the annual data portfolio plan; sequence capability increments, dependencies, and shared-capability alternatives before dev/test/build sequences.
• Author functional data-architecture command media aligned to applicable enterprise data-management, governance, stewardship, and data-quality direction; prepare architecture-decision content for senior functional leadership and higher-tier governance bodies.
• Define architectural patterns and certification criteria for governed data products, pipelines, and interfaces so participating intra-Q&MS organizations can adopt shared capabilities without divergent localized implementations.
• Translate organizational data-management maturity gaps into architectural investments carried in the Q&MS data-system roadmap.
• Advise on governance approach for AI enablement – traceability, lineage, and fitness-for-use for approved AI agentic use cases.
• Serve as the architecture interface to the enterprise data office, corporate IT, and corporate data and AI enablement organizations; elevate matters beyond functional authority through the applicable interface.
• Mentor Staff and Senior data engineers, modelers, and technical stewards across participating organizations.

Delivers 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.Build 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

Basic Qualifications

• Bachelor's degree in a related technical discipline plus 14+ years in data architecture or enterprise data management
• Demonstrated ownership of enterprise or functional data-architecture strategy, reference architectures, and common data models
• Advanced conceptual, logical, and physical data modeling for complex, cross-organizational domains
• Demonstrated authorship of governance and architecture artifacts – standards, models, architectural decision records – and experience presenting to senior governance bodies
• Ability to obtain and maintain a U.S. DoD Secret clearance (U.S. citizenship required)

Desired Skills

• Databricks (Unity Catalog, Delta, Lakehouse patterns)
• Metadata, lineage, glossary, and data-product certification design
• Common data modeling and semantic interoperability across federated organizations
• Familiarity with controlled command-media authoring in a regulated enterprise
• Quality data-model domain experience (nonconformance, corrective action, assessment, inspection)
• Relevant certifications (e.g., CDMP, TOGAF, Databricks Data Engineer, Security+)

Pay Information

Full-Time Salary Range: $129000.00 - $239600.00

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.