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MillerKnoll is seeking a Senior Enterprise Data Architect to define and govern the enterprise data strategy and architecture, facilitating business growth and operational efficiency. The role requires extensive experience in data architecture within hybrid environments and aims to establish a cohesive data ecosystem that enhances accessibility and actionability across business domains.
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Job Summary
The Enterprise Data Architect is accountable for defining and governing the enterprise data strategy to directly enable business growth and digital transformation.
You will establish a cohesive, scalable data ecosystem that ensures data is trusted, accessible, and actionable across all business domains.
This role requires deep expertise in distributed data systems across hybrid environments with strong experience in AWS and Snowflake.
Matching Summary
Match Score: 75
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MillerKnoll is seeking a Senior Enterprise Data Architect to define and govern the enterprise data strategy and architecture, facilitating business growth and operational efficiency. The role requires extensive experience in data architecture within hybrid environments and aims to establish a cohesive data ecosystem that enhances accessibility and actionability across business domains.
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Skills & Requirements
Must-have
Enterprise Data Strategy definition
Canonical Data Model ownership
Master Data Management (MDM) architecture
AWS and Snowflake experience
API-first and event-driven integration
Data Governance framework enforcement
Hybrid cloud and legacy environment expertise
Nice-to-have
Data Mesh principles application
Federated domain-oriented ownership model
Executive leadership partnership skills
Hypothesis-driven data engineering mindset
Cross-functional collaboration abilities
Key Requirements
10+ years of experience in enterprise data or architecture
5+ years of leadership experience across multiple teams
Bachelor's degree in Computer Science, Information Systems, or related field