Data Architect Senior Staff - Level 5

Description:

What You Will Be Doing:

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.

What's In It For You:

From onsite to remote, we offer flexible work schedules to comprehensive benefits investing in your future and security. Learn more about Lockheed Martin's comprehensive benefits package here. Do you want to be part of a company culture that empowers employees to think big, lead with a growth mindset, and make the impossible a reality? We provide the resources and give you the flexibility to enable inspiration and focus

• if you have the passion and courage to dream big, work hard, and have fun doing what you love then we want to build a better tomorrow with you.

Basic Qualifications:

• 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.

Desired Skills:

• 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.

Security Clearance Statement:

This position requires a government security clearance, you must be a US Citizen for consideration.

Clearance Level:

Secret Other Important Information You Should Know Expression of Interest:

By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. Should this match be identified you may be contacted for this and future openings. Ability to

Work Remotely:

Part-time Remote Telework:

The employee selected for this position will work part of their work schedule remotely and part of their work schedule at a designated Lockheed Martin facility. The specific weekly schedule will be discussed during the hiring process.

Work Schedules:

Lockheed Martin supports a variety of alternate work schedules that provide additional flexibility to our employees. Schedules range from standard 40 hours over a five day work week while others may be condensed. These condensed schedules provide employees with additional time away from the office and are in addition to our Paid Time off benefits. Lockheed Martin is an equal opportunity employer. Qualified candidates will be considered without regard to legally protected characteristics. The application window will close in 90 days; applicants are encouraged to apply within 5

• 30 days of the requisition posting date in order to receive optimal consideration.

At Lockheed Martin, we use our passion for purposeful innovation to help keep people safe and solve the world's most complex challenges. Our people are some of the greatest minds in the industry and truly make Lockheed Martin a great place to work. With our employees as our priority, we provide diverse career opportunities designed to propel, develop, and boost agility. Our flexible schedules, competitive pay, and comprehensive benefits enable our employees to live a healthy, fulfilling life at and outside of work. We place an emphasis on empowering our employees by fostering an inclusive environment built upon integrity and corporate responsibility. If this sounds like a culture you connect with, you're invited to apply for this role. Or, if you are unsure whether your experience aligns with the requirements of this position, we encourage you to search on Lockheed Martin Jobs , and apply for roles that align with your qualifications.

Experience Level:

Experienced Professional Business Unit:

AERONAUTICS COMPANY

Relocation Available:

Possible Career Area:

Data Science Type:

Full-Time Shift:

First Qualifications:

• 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.