Senior AI Platform Architect

Dynata, LLC (Connecticut); Town of Texas (WI); Hybrid; USD 120,000 - 150,000; Full time

Job summary

Dynata is seeking a senior data/architecture leader to define and evolve the semantic layer, medallion architecture, and enterprise data models. You will translate governance standards into scalable technical frameworks and enforceable architectures while setting standards for schema design and metadata management across the platform.

You will design data contract frameworks, govern lineage and quality controls, and ensure AI and analytics use cases are supported by a unified platform

Qualifications

• 7+ years of experience in data architecture, platform architecture, or AI/ML infrastructure.
• Proven experience designing enterprise-scale semantic layers and data contracts.
• Strong understanding of lakehouse architectures, metadata management, and governance.

Responsibilities

• Define and evolve semantic layer, medallion architecture, and enterprise data models.
• Translate governance standards into scalable technical frameworks and enforceable architectures.
• Establish standards for schema design, metadata management, interoperability, and semantic consistency.
• Ensure analytical, operational, and AI use cases are supported by a common architectural foundation.
• Design and govern data contract frameworks enabling reliable, reusable data assets.
• Lead architecture discussions balancing business needs, governance, and scalability.
• Define patterns for feature stores, model inputs/outputs, and model lifecycle management.
• Partner with Product, Technology, Research & Data Science, and Data Platform teams.

Skills

Data architecture

Platform architecture

AI/ML infrastructure

Data governance

Lakehouse patterns

Semantic layer design

Stakeholder management

Enterprise data modeling

Tools

Databricks

Snowflake

DataHub

Metadata platforms

Feature stores

Job description

Dynata is seeking a senior data/architecture leader to define and evolve the semantic layer, medallion architecture, and enterprise data models. You will translate governance standards into scalable technical frameworks and enforceable architectures while setting standards for schema design and metadata management across the platform.

You will design data contract frameworks, govern lineage and quality controls, and ensure AI and analytics use cases are supported by a unified platform