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Principal Practice Enterprise Architect Data

Sherwin-Williams
Cleveland, USA
Lead · 15+ years experience
Onsite
Discovered 1 weeks ago
SQL

Full Job Posting

Minimum Qualifications:

  • Must be at least 18 years of age
  • Must be legally authorized to work in the country of employment without now or in the future requiring sponsorship for employment visa status (e.g., OPT, CPT, H1B, EB-1, etc.)
  • Bachelor's degree in Computer Science or Information Technology, or in lieu of a degree, at least 18 years of experience in technology delivery
  • 15+ years in technology, including 5+ years of hands-on data engineering or software engineering and 5+ years in architecture or deep technical leadership roles
  • Production experience designing and governing enterprise data platforms at scale on Databricks: 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
  • 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, enough to design a data foundation that AI and analytics workloads reuse rather than duplicate
  • Current hands-on use of Databricks (notebooks, SQL, workflows, Unity Catalog) and AI code assist tooling; evaluates platforms directly rather than through vendor material
  • Track record of influencing senior technical leaders as a peer and enforcing standards across delivery teams without creating bottlenecks

Preferred Qualifications:

  • TOGAF Level 2, CISSP, CEAP, CSA, CSEA
  • Travel: 10-15%

Responsibilities

  • Own enterprise standards, patterns and reference architectures for data: the enterprise data platform and lakehouse, data modeling, master and reference data, analytics and reporting, and how AI workloads draw on the data foundation
  • Own data technology and platform selection for the enterprise: data platform, storage and processing, master data management, analytics and BI, catalog and data quality tooling, in consultation with the Integration & DevOps, AI and Infrastructure Practice Architects
  • Own data architecture guardrails with Security, Privacy and Data Governance: classification, retention, access patterns and the conditions under which data may be shared or leave the platform
  • Maintain the enterprise data platform roadmap: capability expansion, version currency and sunset planning, as architecture input to investment decisions
  • Review solution designs for conformance to data standards, and advise Portfolio Architects where their decisions intersect data without overriding them
  • Keep Enterprise Data & Insights platform delivery aligned to the enterprise standard, and provide the data foundation the Enterprise AI Game Changers initiatives build on
  • Run the data technology radar: assess what is emerging, maturing or declining in data platforms, modeling and analytics
  • Build data architecture capability across the architect population: patterns, enablement and hands-on guidance for Solution & Domain Architects
  • Serve as a standing member of architecture governance, contributing data intelligence to enterprise strategy and investment decisions
  • This is a remote position.
  • This position is not eligible for sponsorship for work authorization now or in the future, including conversion to H1-B visa.
  • Job duties include contact with other employees and access confidential and proprietary information and/or other items of value, and such access may be supervised or unsupervised. The Company therefore has determined that a review of criminal history is necessary to protect the business and its operations and reputation and is necessary to protect the safety of the Company’s staff, employees, and business relationships.
  • Must be eighteen years or older

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