AI Platform Architect & Data Governance Lead

Dynata; United States; On-site; USD 120,000 - 150,000; Full time

Job summary

Dynata seeks a Senior AI Architect to lead the design of semantic layer, data contracts, and AI platform architecture across its data products. You will shape patterns, governance, and integration standards tying lakehouse, feature ecosystem, and ML capabilities into a scalable platform.

This role partners with Product, Engineering, and Data Science to set architectural standards and drive enterprise data strategy.

Qualifications

• 7+ years of experience in data/architecture, AI/ML infra, or related fields.
• Proven design of enterprise-scale semantic layers, data models, and data contracts.
• Strong knowledge of lakehouse patterns, metadata management, and governance.

Responsibilities

• Define architectures for semantic layer, medallion design, and enterprise data models.
• Govern schema design, metadata management, interoperability, and semantic consistency.

Skills

Data Architecture

AI/ML Infrastructure

Governance & Data Contracts

Lakehouse Architecture

Stakeholder Leadership

Architectural Patterns

Education

MS in Computer Science/Data Science

Bachelor's in a related field

Tools

Databricks

DataHub

Snowflake

Feature Stores

Metadata Platforms

Job description

Dynata seeks a Senior AI Architect to lead the design of semantic layer, data contracts, and AI platform architecture across its data products. You will shape patterns, governance, and integration standards tying lakehouse, feature ecosystem, and ML capabilities into a scalable platform.

This role partners with Product, Engineering, and Data Science to set architectural standards and drive enterprise data strategy.