Enterprise Data Architect

Masco Corporation • Livonia, MI

1d • $103,700 - $163,020

About The Position

The Enterprise Data Architect is the design authority for Masco's enterprise POS and adjacent commercial data assets. This role owns the enterprise data model, the governed master data foundations, and the attribution logic that connects Business Unit, HQ, and retailer data into one trusted, reusable enterprise view. The Architect sets harmonization, data-modeling, and data-quality standards that the Data Engineering team executes against, and codifies those standards into documented, governed rules. This role is central to building a scalable, AI-ready enterprise data foundation.

Requirements

• Bachelor's degree or higher in a related field, or equivalent professional experience.
• Substantial experience as an Enterprise Data Architect, Data Architect, or comparable role, including designing and governing enterprise data models across multiple business units or domains.
• Proven track record establishing master data, attribution, and harmonization standards in a multi-source, multi-brand environment.
• Experience leading and coaching technical data teams toward enterprise standards.
• Design-authority mindset. Sets direction, holds the line on standards, and coaches others on why those standards matter.
• Strong strategic thinker who can move from ambiguity to a modeled, governed answer.
• Excellent communicator who can translate architecture decisions for both technical and business audiences.
• Detail-oriented and self-directed on complex, cross-functional problems.
• Flexible. Balances enterprise standards with pragmatic delivery.
• Collaborative across IT, Analytics, HQ, and Business Units.
• Continuous learner who stays current on emerging data practices.
• Strong understanding of enterprise data architecture and dimensional/semantic modeling (Kimball, Lakehouse patterns such as bronze/silver/gold).
• Working knowledge of modern cloud data platforms (Databricks, Azure data stack) and how to lead teams delivering against them.
• Familiarity with SQL, Python, ETL/ELT patterns, and BI semantic models sufficient to guide and evaluate engineering work.
• Understanding of data quality, catalog, lineage, and metadata management practices.
• Understanding of security, access, and compliance standards as they apply to enterprise data.

Nice To Haves

• Experience in retail, consumer goods, or manufacturing analytics environments where POS, sell-in, inventory, and third-party retail data are core.
• Prior experience designing master data, attribution logic, or product hierarchies across multiple retailers or channels.
• Familiarity with modern DataOps, Agile, or Kanban practices.
• Exposure to AI/ML-ready data architecture patterns (feature stores, governed semantic layers for AI/agentic consumption).

Responsibilities

• Own the enterprise data architecture blueprint and standardized data model, expandable across POS use cases.
• Own the governed master data foundations — Product, Retailer, Geographic, and Calendar.
• Establish and evolve the semantic and dimensional modeling framework used by BI and Engineering.
• Evaluate and lead implementation of master data management tools and processes to support the governed master data foundations.
• Define and maintain the BU to HQ to retailer attribution crosswalk as the enterprise standard.
• Codify attribution logic into governed rules with clear ownership and approval processes.
• Approve hierarchy changes, mapping exceptions, and material structural changes.
• Actively curate product hierarchies and attribution mappings as ongoing operational activities.
• Set harmonization, modeling, and data-quality standards, including validation guidelines.
• Enforce policies for data engineering, integration, security, and compliance.
• Monitor day-to-day data quality, investigate root causes, and drive resolution with Data Engineering and business stakeholders.
• Curate the enterprise data catalog, including definitions, lineage, and metadata, as an ongoing discipline.
• Serve as the design-authority checkpoint on incoming requests and enhancements, confirming work fits the enterprise model and standards.
• Approve architectural approaches before build begins.
• Partner with the Data Engineering Leader on delivery reviews and on escalated issues that touch the model, masters, or attribution.
• Provide design-integrity oversight of release management for engineering enhancements, requests, and projects.
• Provide technical direction on masters, attribution, ingestion patterns, and modeling standards.
• Coach engineers on modeling discipline and enterprise design principles.
• Contribute to strategic planning, talent, tooling, and vendor evaluations.
• Contribute to budgeting and investment decisions for enterprise data platforms, services, and tools.
• Own the documented definition of the enterprise data model, masters, and attribution rules.
• Establish documentation standards for models, attribution logic, and modeling decisions.
• Maintain the enterprise knowledge base and catalog for definitions, lineage, and material changes.
• Champion a “documented once, reused everywhere” culture across the team.

Benefits

• Actual compensation may vary based on various factors including experience, education, geographic location, and/or skills.

What This Job Offers

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