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Enterprise Data Architect

Job in Denver, Denver County, Colorado, 80285, USA
Listing for: CoreSite
Full Time position
Listed on 2026-02-16
Job specializations:
  • IT/Tech
    Data Engineer, Cloud Computing
Salary/Wage Range or Industry Benchmark: 150000 - 200000 USD Yearly USD 150000.00 200000.00 YEAR
Job Description & How to Apply Below
Position: Enterprise Data Architect (1832)

About Coresite

At Core Site, we empower a more connected future through high-performance data centers and interconnection solutions. Recognized as a trusted partner in digital transformation, our strategically located facilities and innovative services enable businesses to connect, collaborate, and grow in an ever-evolving technological landscape.

Our culture is defined by operational excellence and a relentless drive for innovation. We foster a collaborative environment where every team member is valued, wins are celebrated as a team, and ownership is part of our DNA. At Core Site, we’re not just building state-of-the-art infrastructure—we’re creating a community of forward‑thinkers committed to solving complex challenges and delivering exceptional customer experiences.

At Core Site not only are we committed to excellence, but we also build connections, own it, do the right thing, have fun, and win as a team. Join us and be part of a team that is shaping the future of digital infrastructure while nurturing your professional growth and success.

Enterprise Data Architect Role

Core Site is seeking a visionary, innovative, and deeply technical Enterprise Data Architect to lead the strategy, design, and governance of Core Site’s enterprise data and automation platforms. As the single‑threaded owner of Core Site’s enterprise data architecture, this role defines how data is modeled, governed, and activated to deliver business value across all functional domains.

Reporting to the Director – IT Solutions, this role will drive the end‑to‑end technical strategy for data, analytics, API, and AI platforms—ensuring the architecture is trusted, scalable, and adaptable to support millions of daily transactions and power next‑generation digital capabilities.

The Enterprise Data Architect combines strategic vision with hands‑on technical expertise, influencing platform design, integration strategy, and engineering best practices while mentoring teams across the organization.

Your Impact & Responsibilities Architectural Vision & Strategy
  • Define and communicate a clear, future‑forward vision for Core Site’s unified data and analytics architecture.
  • Define data product strategy and lifecycle management.
  • Align data strategy with enterprise goals, ensuring the platform supports operational efficiency, business intelligence, and digital transformation.
  • Develop and enforce architectural guardrails, principles, and standards for data, API, and AI ecosystems.
  • Evaluate and introduce emerging technologies that advance Core Site’s data‑driven capabilities.
Platform Design & Engineering
  • Design and oversee the implementation of scalable, distributed, and secure data platforms.
  • Architect modern systems that integrate data lakes, data warehouses, streaming/event‑driven pipelines, and machine learning infrastructure.
  • Lead the design of end‑to‑end data flows, ensuring reliability, consistency, and performance across all data domains.
  • Apply Domain‑Driven Design (DDD) principles to create modular, loosely coupled data services.
  • Ensure architecture supports hybrid cloud integration and elasticity (AWS, Azure, or GCP).
Cross‑Functional Leadership & Collaboration
  • Drive enterprise‑wide adoption of data literacy and self‑service analytics.
  • Partner with product, engineering, Dev Ops, data science, and business stakeholders to translate business needs into technical architecture.
  • Serve as a trusted advisor to executive leadership, influencing enterprise technology direction and investment.
  • Facilitate architectural reviews and drive decision‑making across multiple technical teams.
  • Champion best practices for data integration, API design, and cross‑platform interoperability.
Governance, Quality & Operational Excellence
  • Establish enterprise data governance frameworks to ensure data quality, lineage, and compliance.
  • Implement lifecycle management standards for master data, metadata, and reference data.
  • Collaborate with Dev Ops to enhance CI/CD pipelines and automation in data testing, deployment, and observability.
  • Promote consistent use of data models, patterns, and architectural templates across business units.
Mentorship & Leadership
  • Build and mentor a team of data…
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