Senior Data, Analytics & AI Platform Architect

Experis Austria

Dallas (TX)

On-site

USD 160,000 - 220,000

Full time

2 days ago
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Benefits offered by this job

Medical and Prescription Drug Plans
Vision Plan
Health Savings Account
Health Flexible Spending Account
Weekly Pay

Job summary

Experis is hiring a Sr. Solution Architect for Data, Analytics & AI to lead the end-to-end architecture across Microsoft Fabric, Snowflake, and Power BI.

You will govern production-grade data platforms, drive semantic/MDM governance, and enable trustworthy AI pipelines within a business-first framework. You will own the Snowflake architecture and integration decisions, partner with engineering and data science teams, and shape a scalable, governed data ecosystem for advanced analytics and AI

Qualifications

  • 15+ years of experience in data engineering/architecture/analytics or closely related fields.
  • 5+ years hands-on Snowflake architecture and engineering experience.
  • Proven experience delivering production-grade data platforms on Fabric or Azure Synapse Analytics.
  • Strong background in data lakehouse architectures and medallion patterns (Bronze/Silver/Gold).

Responsibilities

  • Design and own end-to-end solution architecture for data, analytics, and AI across Fabric, Snowflake, and Power BI.
  • Serve as the primary Snowflake SME for architecture and integration decisions.
  • Govern Fabric-to-Snowflake transition by validating partner deliverables against production outputs.
  • Architect semantic/ontology, MDM, and governance aspects for trusted BI and AI.
  • Build data infrastructure for AI/ML workloads with governed pipelines and RAG-enabled processes.

Skills

Snowflake architecture
Microsoft Fabric
Azure Synapse Analytics
Power BI governance

Job description

Experis is hiring a Sr. Solution Architect for Data, Analytics & AI to lead the end-to-end architecture across Microsoft Fabric, Snowflake, and Power BI.

You will govern production-grade data platforms, drive semantic/MDM governance, and enable trustworthy AI pipelines within a business-first framework. You will own the Snowflake architecture and integration decisions, partner with engineering and data science teams, and shape a scalable, governed data ecosystem for advanced analytics and AI

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