Enterprise Data Architect: Architect of Shared Data & Trust

Ashley Furniture Industries

Tampa (FL)

On-site

USD 130,000 - 170,000

Full time

14 days+

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Job summary

Ashley Furniture Industries is seeking an Enterprise Data Architect to define the shared data foundation that ensures consistent understanding of core business entities across the enterprise. This role translates business concepts into reusable enterprise models and authoritative definitions to accelerate decision-making and data product delivery.

By establishing a common language for data, the role reduces ambiguity, strengthens cross-domain alignment, and enables teams to deliver faster with

Qualifications

  • 5+ years in enterprise data modeling, data architecture, or semantic modeling.
  • Proven ability to translate business concepts into precise definitions.
  • Experience aligning cross-functional teams with governance stakeholders.
  • Familiarity with metadata management and data catalogs.
  • Strong written documentation for model definitions.

Responsibilities

  • Define and evolve enterprise conceptual and logical data models.
  • Establish representations of business entities, relationships, and domain boundaries.
  • Provide architectural guidance that promotes consistency while supporting team autonomy.
  • Apply enterprise modeling and naming standards through practical guidance and review.
  • Identify gaps in standards based on real-world usage and drive continuous improvement.
  • Partner with Data Product Management and delivery teams to embed enterprise context into design.
  • Ensure data context is usable and reliable for AI, analytics, and semantic layers.

Skills

Enterprise data modeling
Data architecture
Semantic modeling
Cross-functional collaboration
Data governance familiarity

Job description

Ashley Furniture Industries is seeking an Enterprise Data Architect to define the shared data foundation that ensures consistent understanding of core business entities across the enterprise. This role translates business concepts into reusable enterprise models and authoritative definitions to accelerate decision-making and data product delivery.

By establishing a common language for data, the role reduces ambiguity, strengthens cross-domain alignment, and enables teams to deliver faster with

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