Systems Architect, Data Center Design and Construction

Responsibilities

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

Minimum Qualifications

• B.A. or B.S. in Information Systems, Computer Science, Engineering, Construction Management, or equivalent practical experience
• 7+ years of technical experience in enterprise systems architecture, delivering large-scale system and software development programs from conception through implementation
• 3+ years in architecting and implementing design/construction related systems and related integration tools/APIs (e.g., Oracle Integration Cloud, Autodesk APS, etc.)
• Track record of leading full-cycle implementation projects end-to-end, from problem definition and change management through delivery, both functionally and technically
• Demonstrated ability to solve complex technical problems across multiple systems, integrations, and business domains
• Experience with diverse delivery methodologies, including agile
• Experience managing product roadmaps, setting technical direction, and driving feature prioritization with stakeholder engagement
• Experience in system administration of enterprise applications, including user management, security, and configuration
• Experience communicating technical problems with data and analysis effectively across disciplines in writing and presentations
• Experience collaborating with and influencing cross-functional partners across a global organization

Preferred Qualifications

• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
• Experience as a Product Owner or Product Manager for enterprise software platforms
• Experience with integration engineering and middleware platforms
• Master's degree in Business, Computer Science, or related field
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
• Experience prioritizing competing work based on impact, deadlines, and stakeholder needs in a dynamic environment
• PMP, Six Sigma, or relevant enterprise architecture certifications
• Experience with design/construction systems using business applications (e.g., Primavera P6, Procore, Autodesk ACC, Google AppSheets)
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
• Experience in Data Center Construction, Network Topology, or Infrastructure industries
• Experience designing and implementing user access controls and security policies in a regulated environment
• Experience collaborating with Business Intelligence or Data Engineering professionals
• Proficiency in Oracle SQL, PL/SQL, and Oracle RDBMS stored procedures
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
• Track record in user management, including onboarding, training, and support for large user bases
• Experience with AI technologies, including the development and implementation of MCP technology, agentic workflows, and agents
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
• Proficiency in data visualization tools (e.g., Tableau, PowerBI, BI Publisher)

Compensation

• $150,000/year - $209,000/year; Country: US; Bonus eligible; Equity eligible

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