Lead Data AI Architect: Snowflake & Decision Intelligence

Zyntek

Milwaukee, Northern (WI, KY)

Hybrid

USD 140,000 - 190,000

Full time

11 days ago
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Job summary

Zyntek in Milwaukee, Wisconsin seeks a Data AI Architect Lead to design and drive scalable enterprise data ecosystems built on Snowflake and Azure. Lead the development of modern data platforms, architect ingestion, transformation, storage and consumption frameworks, and deliver AI-enabled, autonomous workflow solutions with Decision Intelligence.

Collaborate with business and technology stakeholders to identify enterprise AI and analytics opportunities.

Qualifications

  • Experience designing scalable enterprise data platforms.
  • Proficient with Snowflake and Azure cloud services.
  • Ability to translate business needs into analytics and AI solutions.

Responsibilities

  • Lead the design and implementation of modern data platforms using Snowflake and Azure.
  • Architect scalable data ingestion, transformation, storage and consumption frameworks.
  • Design and implement AI-enabled and agentic architectures to support autonomous workflows.
  • Build and integrate Decision Intelligence solutions combining data analytics, AI, and business insights.
  • Collaborate with stakeholders to identify enterprise AI and analytics opportunities.
  • Develop data solutions using Snowflake features including data sharing and performance optimization.
  • Leverage Azure services such as Azure Data Factory and Azure Databricks.

Skills

Snowflake
Azure
Data architecture
AI/ML fundamentals
Stakeholder collaboration

Tools

Snowflake
Azure Databricks
Azure Data Factory

Job description

Zyntek in Milwaukee, Wisconsin seeks a Data AI Architect Lead to design and drive scalable enterprise data ecosystems built on Snowflake and Azure. Lead the development of modern data platforms, architect ingestion, transformation, storage and consumption frameworks, and deliver AI-enabled, autonomous workflow solutions with Decision Intelligence.

Collaborate with business and technology stakeholders to identify enterprise AI and analytics opportunities.

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