Senior Enterprise Data Architect

Senior Enterprise Data Architect page is loaded## Senior Enterprise Data Architect locations:
MI - Zeelandtime type:
Full time posted on:
Slået op i dagjob requisition :
JR108868

Our purpose is design for the good of humankind. It’s the ideal we strive toward each day in everything we do. Being a part of Miller Knoll means being a part of something larger than your work team, or even your brand. We are redefining modern for the 21st century. And our success allows Miller Knoll to support causes that align with our values, so we can build a more sustainable, equitable, and beautiful future for everyone.

At Miller Knoll, the Enterprise Data Architect is accountable for defining and governing the enterprise data strategy and architecture to directly enable business growth, operational efficiency, and digital transformation. This role establishes a cohesive, scalable data ecosystem that ensures data is trusted, accessible, and actionable across all business domains.

As a senior architecture leader, you will standardize how data is defined, mastered, integrated, and consumed—eliminating fragmentation and enabling a consistent enterprise-wide data foundation. You will partner closely with business, product, engineering, and analytics teams to align data architecture with strategic priorities while reducing complexity and cost.

** Essential Functions of the Enterprise Data Architect at Miller Knoll
** You'll have opportunities to speak up, solve problems, lead others, and be an owner every day as someone who does the following. . .
** Enterprise Data Strategy & Architecture
*** Define and evolve the enterprise data strategy aligned to business objectives and digital initiatives.
* Establish reference architectures and target-state data patterns supporting operational and analytical use cases.
* Ensure data architecture supports scalability, flexibility, and cost efficiency across cloud and legacy environments.
** Canonical Data Model & Common Language
*** Own the definition and governance of the Enterprise Canonical Data Model (CDM) and Global Data Dictionary.
* Standardize core business entities (e.g., Customer, Product, Asset) across all systems and domains.
* Drive adoption of a unified data language to eliminate semantic inconsistencies across teams.
** Master Data & “Single Source of Truth” (SSOT)
*** Define authoritative systems of record for all critical data domains.
* Architect and govern Master Data Management (MDM) strategies, including Golden Record creation and stewardship models.
* Reduce redundancy and conflicting data definitions across platforms.
** Data Integration & Orchestration
*** Establish and enforce standardized integration patterns (API-first, event-driven, and data streaming).
* Reduce point-to-point integrations and integration debt across the enterprise.
* Govern enterprise data flows to ensure consistency, traceability, and scalability.
* Drive alignment toward modern distributed data architectures (e.g., Data Mesh principles where appropriate).
** Data Performance, Latency & Cost Optimization
*** Define standards for balancing real-time operational needs with analytical processing requirements.
* Ensure data platforms are optimized for both transaction processing and advanced analytics without excessive cost.
* Guide architecture decisions for high-performance systems and enterprise analytics platforms.
** Data Governance & Quality
*** Establish and enforce enterprise data standards, policies, and governance frameworks.
* Actively participate in domain data governance boards to ensure accountability and adoption.
* Improve data quality, lineage, and transparency across the enterprise.
** Business Alignment & Value Realization
*** Translate complex business requirements into scalable, high-impact data solutions.
* Partner with executive leadership to support strategic decision-making through data.
* Ensure data architecture investments deliver measurable business value.
** Enterprise Architecture Leadership
*** Serve as a key member of the Architecture Review Board (ARB), governing adherence to enterprise data standards.
* Lead data architecture reviews across all major initiatives and product domains.
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