Senior AI Architect: Semantic Layer & Governance (Remote)

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

Job summary

Dynata seeks a Senior AI Architect to lead the semantic layer and data architecture across the company’s AI ecosystem. You will define patterns, governance, and integration standards that connect lakehouse, semantic layer, and feature ecosystems into a scalable platform.

You will partner with product, engineering, and platform teams to ensure data discoverability, interoperability, and governance across analytics and AI use cases.

Qualifications

• Seven or more years in data/AI architecture or related fields.
• Experience designing semantic layers, data models, and governance frameworks.
• Proven ability to translate business requirements into scalable architectures.

Responsibilities

• Define and evolve semantic layer, data models, and governance standards.
• Lead architecture discussions and coordinate cross-functional teams.
• Establish standards for schema, metadata, lineage, and interoperability.

Skills

Data architecture

AI/ML infrastructure

Stakeholder management

Architectural leadership

Communication

Education

Graduate degree or equivalent experience

Tools

Databricks

Snowflake

DataHub

Feature stores

Job description

Dynata seeks a Senior AI Architect to lead the semantic layer and data architecture across the company’s AI ecosystem. You will define patterns, governance, and integration standards that connect lakehouse, semantic layer, and feature ecosystems into a scalable platform.

You will partner with product, engineering, and platform teams to ensure data discoverability, interoperability, and governance across analytics and AI use cases.