→ Lead Data AI Agentic Architect Milwaukee, Wisconsin - Onsite View & apply

Zyntek; Milwaukee, Northern (WI, KY); Hybrid; USD 140,000 - 190,000; Full time

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

We are seeking a highly skilled Data AI Architect Lead with a strong foundation in Snowflake w and Decision Intelligence platforms This role will be responsible for designing and driving mod and scalable enterprise data ecosystems.Key Responsibilities:Lead the design and implementation of modern data platforms using Snowflake and AzurebaeArchitect scalable data ingestion transformation storage and consumption frameworks for anaDesign and implement Al enabled and Agentic architectures to support autonomous workflowBuild and integrate Decision Intelligence solutions that combine data analytics AI and businessWork closely with business and technology stakeholders to identify enterprise AI and analyticsDevelop data solutions using Snowflake features including data sharing performance optimizationLeverage Azure services such as Azure Data Factory Azure Storage Azure Databricks Azure Ope

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