Meta
Systems Architect, Data Center Design and Construction
$150K–$209K
Reston, VA +2 · Full-time · Posted Jul 22, 2026
- Location
- Reston, VA
Menlo Park, CA
San Francisco, CA - Experience
- 7+ years in enterprise systems architecture; 3+ years in design/construction-related systems and integration tools/APIs.
- Education
- B.A. or B.S. in Information Systems, Computer Science, Engineering, Construction Management, or equivalent practical experience.
About the job
Leads technical strategy and end-to-end delivery of enterprise systems, integrations, and data architecture for Meta’s global Design, Construction, and Engineering organization.
What you'll do
- Set system technical strategy, manage roadmaps and risks, and lead major implementations and upgrades.
- Design system architectures, workflows, integrations, and data solutions; evaluate vendors and build-versus-buy options.
- Own product metrics and adoption, drive AI-enabled workflows and engineering standards, and partner with and mentor cross-functional teams.
What they ask for
- 7+ years of technical experience in enterprise systems architecture and large-scale system or software development programs, from conception through implementation.
- 3+ years architecting and implementing design/construction-related systems and integration tools/APIs.
- B.A. or B.S. in Information Systems, Computer Science, Engineering, Construction Management, or equivalent practical experience.
- Track record leading end-to-end implementation projects and solving complex technical problems across systems, integrations, and business domains.
Nice to have
- Master’s degree in Business, Computer Science, or a related field; PMP, Six Sigma, or relevant enterprise architecture certifications.
- Experience with design/construction systems, data center construction, Oracle technologies, AI agents/MCP, or data visualization tools.
Pay
$150,000/year to $209,000/year (base salary)
Tools
Unifier, P6, ACC, Oracle Integration Cloud, Autodesk APS, Oracle SQL, PL/SQL, Oracle RDBMS
AI focus
Use AI tools to automate routine work, improve system quality, redesign workflows, and support analytics and integrations; the posting also mentions AI-assisted workflows, agentic workflows, MCP technology, and responsible AI practices.
Model-written summary · the original posting is authoritative