Principal Practice Enterprise Architect Data

Sherwin-Williams • Cleveland, OH

4h • $153,842 - $200,728 • Remote

About The Position

The Principal Practice Enterprise Architect, Data is the enterprise-wide architecture decision maker for data. The role owns standards, reference architectures, technology selections, and roadmaps for how data is stored, modeled, moved, governed, and served. Portfolios and delivery teams are expected to conform to the standards established by this role. The position works as a peer with data, analytics, security, and privacy leaders.

This role owns enterprise data architecture standards and technology decisions, maintains the data platform roadmap, reviews solution designs for alignment with standards, and helps keep platform delivery aligned with enterprise architecture. It also evaluates emerging data technologies, builds architecture capability across the architect population, and contributes data expertise to architecture governance and enterprise investment decisions. The position is remote and involves 10–15% travel. It is not eligible for current or future work-authorization sponsorship.

Requirements

• Be at least 18 years of age.
• Be legally authorized to work in the country of employment without now or in the future requiring employment visa sponsorship.
• Bachelor's degree in Computer Science or Information Technology, or at least 18 years of experience in technology delivery in lieu of a degree.
• 15 or more years in technology, including 5 or more years of hands-on data engineering or software engineering and 5 or more years in architecture or deep technical leadership roles.
• Production experience designing and governing enterprise data platforms at scale on Databricks, including lakehouse and medallion architecture, Delta Lake, Unity Catalog governance, data modeling, master data management, analytics, and data products; advisory-only data experience does not qualify.
• At least 3 years setting enterprise technology standards and making platform selection decisions across multiple business units or delivery teams.
• Working depth in integration patterns and the AI and ML data lifecycle sufficient to design a data foundation reused by AI and analytics workloads.
• Current hands-on use of Databricks, including notebooks, SQL, workflows, and Unity Catalog, and AI code-assist tooling; must evaluate platforms directly rather than relying on vendor material.
• Track record of influencing senior technical leaders as a peer and enforcing standards across delivery teams without creating bottlenecks.

Nice To Haves

• TOGAF Level 2.
• CISSP.
• CEAP.
• CSA.
• CSEA.

Responsibilities

• Own enterprise standards, patterns, and reference architectures for the enterprise data platform and lakehouse, data modeling, master and reference data, analytics and reporting, and data foundations for AI workloads.
• Own enterprise data technology and platform selections, including data platforms, storage and processing, master data management, analytics and BI, catalog, and data quality tooling, in consultation with other practice architects.
• Establish data architecture guardrails with Security, Privacy, and Data Governance, including classification, retention, access patterns, and conditions for sharing data or moving it outside the platform.
• Maintain the enterprise data platform roadmap, including capability expansion, version currency, and sunset planning as input to investment decisions.
• Review solution designs for conformance to data standards and advise Portfolio Architects where their decisions intersect with data.
• Keep Enterprise Data & Insights platform delivery aligned with the enterprise standard and provide the data foundation for Enterprise AI Game Changers initiatives.
• Run the data technology radar by assessing emerging, maturing, and declining data platforms, modeling approaches, and analytics technologies.
• Build data architecture capability across the architect population through patterns, enablement, and hands-on guidance for Solution & Domain Architects.
• Serve as a standing member of architecture governance and contribute data intelligence to enterprise strategy and investment decisions.

Benefits

• A range of benefits covering retirement, health care, total well-being, and daily commute; eligible offerings are described on the company's benefits website.
• Rewards, benefits, and flexibility intended to support health and well-being.
• Opportunities to learn, develop new skills, and grow career contributions.
• An inclusive team and commitment to employees' and broader communities.

What This Job Offers

• Job Type: Full-time
• Career Level: Principal