Senior Data Architect: Azure Fabric & AI Platform Lead

Datavail

Boulder (CO)

On-site

USD 170,000 - 210,000

Full time

3 days ago
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Job summary

Datavail seeks a Senior Data Architect to lead modern data platform design and delivery for clients, with a focus on Microsoft Fabric and the Azure data ecosystem. You will own architectures across discovery to production, defining target states, data models, and SDLC/DevOps practices in a client-facing role.

You will collaborate with business stakeholders, client IT/security teams, and Datavail teams of data engineers, analytics engineers, and BI developers on multiple engagements, ensuring

Qualifications

  • 10+ years in data engineering, warehousing or analytics
  • 5+ years in a data/solution architect role
  • Hands-on delivery with Microsoft Fabric in production
  • Experience leading enterprise-scale data platforms
  • Strong modeling: Kimball, Data Vault 2.0, 3NF

Responsibilities

  • Lead architecture and solution design for Fabric/Azure data estate
  • Own target architectures from discovery to production across engagements
  • Define and govern data models and SDLC/DevOps practices
  • Plan migrations from on-premises to Fabric and Azure
  • Lead architecture reviews and maintain reference architectures
  • Drive data governance, security, and compliance across clients

Skills

Azure Fabric
Data Architecture
Architecture Leadership
Cloud Data Platforms
Data Modeling
Stakeholder Communication
SQL & Spark
DevOps / CI/CD

Education

Bachelor's degree in CS/IS/Engineering
Advanced degree or relevant certifications (preferred)

Tools

Erwin Data Modeler
ER/Studio
SqlDBM

Job description

Datavail seeks a Senior Data Architect to lead modern data platform design and delivery for clients, with a focus on Microsoft Fabric and the Azure data ecosystem. You will own architectures across discovery to production, defining target states, data models, and SDLC/DevOps practices in a client-facing role.

You will collaborate with business stakeholders, client IT/security teams, and Datavail teams of data engineers, analytics engineers, and BI developers on multiple engagements, ensuring

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