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# Systems Architect, Data Center Design and Construction

- **Company:** The Meta Game, Inc.
- **Location:** Reston, VA, United States
- **Experience:** Experienced
- **Salary:** $150,000.0 - $209,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Business Software, Cloud Computing, Information Systems, Data Architecture, Information Engineering, Data Visualization, Middleware, Network Topologies, Project Management Software, Oracle Databases, Oracle (Applications), Primavera, Systems Development Life Cycle, Power BI, Software Engineering, SQL Stored Procedures, PL-SQL, SQL Databases, Systems Architecture, Systems Integration, Tableau (Software), Enterprise Software Applications, Bi Publisher, Prompt Engineering, Agentic-AI, Information Technology, Enterprise Integration, Integration Frameworks, Oracle Integration, Autodesk Autocad, User Administration
- **Published:** October 26, 2026
- **Apply:** https://www.techcareers.com/job.asp?id=3466743031&tx=JP7771FFJ&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

Systems Architect, Data Center Design and Construction Responsibilities, 1. B.A. or B.S. in Information Systems, Computer Science, Engineering, Construction Management, or equivalent practical experience

 2. 7+ years of technical experience in enterprise systems architecture, delivering large-scale system and software development programs from conception through implementation
 3. 3+ years in architecting and implementing design/construction related systems and related integration tools/APIs (e.g., Oracle Integration Cloud, Autodesk APS, etc.)
 4. Track record of leading full-cycle implementation projects end-to-end, from problem definition and change management through delivery, both functionally and technically
 5. Demonstrated ability to solve complex technical problems across multiple systems, integrations, and business domains
 6. Experience with diverse delivery methodologies, including agile
 7. Experience managing product roadmaps, setting technical direction, and driving feature prioritization with stakeholder engagement
 8. Experience in system administration of enterprise applications, including user management, security, and configuration
 9. Experience communicating technical problems with data and analysis effectively across disciplines in writing and presentations
 10. Experience collaborating with and influencing cross-functional partners across a global organization, 1. Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
 2. Experience as a Product Owner or Product Manager for enterprise software platforms
 3. Experience with integration engineering and middleware platforms
 4. Master's degree in Business, Computer Science, or related field
 5. Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
 6. Experience prioritizing competing work based on impact, deadlines, and stakeholder needs in a dynamic environment
 7. PMP, Six Sigma, or relevant enterprise architecture certifications
 8. Experience with design/construction systems using business applications (e.g., Primavera P6, Procore, Autodesk ACC, Google AppSheets)
 9. Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
 10. Experience in Data Center Construction, Network Topology, or Infrastructure industries
 11. Experience designing and implementing user access controls and security policies in a regulated environment
 12. Experience collaborating with Business Intelligence or Data Engineering professionals
 13. Proficiency in Oracle SQL, PL/SQL, and Oracle RDBMS stored procedures
 14. Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
 15. Track record in user management, including onboarding, training, and support for large user bases
 16. Experience with AI technologies, including the development and implementation of MCP technology, agentic workflows, and agents
 17. Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
 18. Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
 19. Proficiency in data visualization tools (e.g., Tableau, PowerBI, BI Publisher)

## Description

The System Architecture Engineer leads system development and cross-functional system delivery for Meta's global Design, Construction, and Engineering (DEC) organization. This role sets the technical direction for the systems domain, drives major initiatives from concept through delivery, and serves as the primary technical authority for complex platform decisions - spanning enterprise platforms (Unifier, P6, ACC, etc.), integrations with internal enterprise platforms and services, and data architecture.This person owns the strategy and engineering solution across a system's portfolio, solving complex, high-impact problems in the domain and leading initiatives that define the team and cross-team strategy. They operate as a credible co-owner across cross-functional boundaries - able to independently drive product decisions, engineer technical solutions, design reviews, and technical analyses alongside business leaders, product managers, and data teams., 1. Set technical strategy for assigned systems

 2. lead planning, development, and rollout of major initiatives
 3. proactively identify roadmap risks and communicate mitigation plans to leadership
 4. Drive build-vs-buy evaluations and vendor assessments, providing clear recommendations backed by data and analysis
 5. Own product KPIs, adoption metrics, and user satisfaction - using data to inform priorities and demonstrate business value
 6. Develop solutions architecture, functional specifications, and system designs for complex business requirements - including UI workflows, integration patterns, and data architecture
 7. Lead end-to-end delivery of major system implementations and upgrades
 8. architect integrations within and across applications ensuring data integrity, seamless workflows, and capabilities for analytics and AI
 9. Use AI tools fluently as a force multiplier
 10. drive AI adoption to automate routine work and improve system quality through AI-assisted workflows
 11. Set and enforce engineering craft standards
 12. influence the broader team's engineering culture toward higher product quality, efficiency, and AI-accelerated workflows
 13. Partner with business leaders and cross-functional teams in Enterprise Engineering, Data Engineering, and adjacent DEC teams to drive platform decisions, design reviews, and feature rollouts
 14. Influence adjacent teams' priorities when dependencies exist - advocating effectively for work that unblocks DEC's systems roadmap
 15. Communicate effectively across disciplines - explaining technical problems with data and analysis to both technical and non-technical audiences
 16. Mentor and develop systems engineers - coaching on technical engineering, business context, communications, and partnership
 17. Build team capability through documentation, training, and standards
 18. contribute to recruiting efforts