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.

Requirements

Must-haves

Standard Job Description
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.
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.
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)

Nice-to-haves

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

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Keywords to mirror

Platform: eightfold
Effort: medium

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Pto

Paid Time Off

Parental Leave