Azure Data Architect — Cloud Modernization & AI Governance

Mohawk Industries

Dallas (TX)

Sur place

USD 120 000 - 180 000

Plein temps

14 jours+
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Résumé du poste

Dal-Tile, the leading tile and natural stone manufacturer and a subsidiary of Mohawk Industries, seeks a Data Architect to drive enterprise data architecture strategy, analytics, governance, and cloud modernization. You will migrate legacy platforms to Azure-based solutions, establish standards, and collaborate with cross-functional teams to deliver trusted data products.

You will shape data lineage, governance frameworks, and KPI models while leveraging AI-enabled capabilities to support

Qualifications

  • Bachelor's degree or equivalent experience in a related discipline.
  • 6-8 years of experience in Data Architecture, Enterprise Architecture, Data Engineering, Analytics, or BI.
  • Hands-on experience with Azure data and BI tools (ADF, Databricks, Storage, SQL, Power BI) and dbt.

Responsabilités

  • Define and maintain enterprise data and BI architecture strategy, including Azure-based migration.
  • Establish architecture standards for dbt, Azure Databricks, Azure Data Factory, Azure Storage, Azure SQL, Power BI, and KPIs.
  • Lead architecture reviews and document decisions, reusable patterns, and governance practices.
  • Partner with business and technology leaders to deliver governed self-service analytics and trusted data products.

Connaissances

Azure Data Factory
Azure Databricks
Azure Storage
Azure SQL
Power BI
dbt
Data Governance
Data Modeling
Architecture Leadership
SAP integration

Formation

Bachelor's degree in Computer Science, Information Systems, Engineering, Data Management, or related discipline

Outils

Microsoft Fabric

Description du poste

Dal-Tile, the leading tile and natural stone manufacturer and a subsidiary of Mohawk Industries, seeks a Data Architect to drive enterprise data architecture strategy, analytics, governance, and cloud modernization. You will migrate legacy platforms to Azure-based solutions, establish standards, and collaborate with cross-functional teams to deliver trusted data products.

You will shape data lineage, governance frameworks, and KPI models while leveraging AI-enabled capabilities to support

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