Data Architect Senior Staff - Level 5

Lockheed Martin•Fort Worth, TX

19h•Hybrid

About The Position

Designs and implements enterprise‑wide data solutions that define how data is stored, integrated, consumed, and managed across multiple IT systems and business applications. Responsibilities include creating conceptual, logical, and physical data models; architecting end‑to‑end data pipelines (ETL/ELT, streaming, SAP/HANA integration); establishing data‑governance and metadata standards; enabling analytics and AI/ML workloads through containerized deployments; and collaborating with business partners to translate requirements into secure, high‑performance data platforms.

Requirements

Bachelor’s degree in Computer Science, Data Science, Statistics, Engineering, or a related quantitative field (Master’s preferred)
Proven ability to design and deploy enterprise data platforms that integrate SAP/HANA or equivalent and Python‑based pipelines
Strong expertise in SQL with complex query writing and optimization
Hands‑on experience with data‑warehousing concepts (for example; ETL, data modeling, reporting)
Proficiency in Python (or R) for data manipulation and statistical analysis
Ability to obtain and maintain a Secret security clearance
Excellent written and verbal communication skills for interfacing with technical and non‑technical stakeholders.
Must be a US Citizen for consideration.

Nice To Haves

Master’s degree in Data Science, Statistics, Computer Science, or a related field
Experience with containerization technologies such as Docker and Kubernetes
Deep knowledge of statistical modeling and machine‑learning techniques
Demonstrated ability to design, develop, and deploy AI‑powered solutions on high‑performance compute infrastructure
Proficiency with data‑visualization tools like Tableau or Power BI
Familiarity with SAP ERP and analytics tools
Certifications in cloud data services (e.g., AWS Data Analytics, Google Professional Data Engineer) or equivalent.

Responsibilities

Designs and implements enterprise‑wide data solutions that define how data is stored, integrated, consumed, and managed across multiple IT systems and business applications.
Creating conceptual, logical, and physical data models.
Architecting end‑to‑end data pipelines (ETL/ELT, streaming, SAP/HANA integration).
Establishing data‑governance and metadata standards.
Enabling analytics and AI/ML workloads through containerized deployments.
Collaborating with business partners to translate requirements into secure, high‑performance data platforms.