Remote Data Architect: Databricks & Agentic AI Platform

HMG AMERICA LLC; United States; Remote; USD 150,000 - 210,000; Full time

Benefits offered by this job

Health insurance

Remote work stipend

Job summary

HMG AMERICA LLC seeks a Data Architect skilled in the Databricks ecosystem to design and deliver agentic AI and data platform solutions on AWS and Databricks. You will shape conversational analytics, agent orchestration, and semantic foundations supporting governed business context.

You will architect data warehouse and lakehouse solutions, define ontologies and knowledge graphs, and ensure robust data cataloging and governance across teams and platforms.

Qualifications

• Deep experience designing Databricks-based data platforms.
• Knowledge of Databricks architecture, workspace design and governance.
• Hands-on ability to build, validate and evaluate agents.

Responsibilities

• Architect data and AI solutions across the Databricks ecosystem on AWS.
• Design conversational analytics using Databricks Genie and Genie Ontology.
• Build AI agents, orchestrate, validate, and evaluate before production.
• Implement retrieval and grounding with Databricks Vector Search.
• Define ontology, knowledge graph, and semantic layer foundations.
• Architect data warehouse and lakehouse solutions with solid data modelling.
• Establish data cataloging practices and maintain business glossaries.

Skills

Databricks Ecosystem

Databricks Genie

Agentic AI Implementation

AgentBricks & Vector Search

Data Warehouse & Lakehouse

Semantic Foundations

Data Cataloging & Glossary

Job description

HMG AMERICA LLC seeks a Data Architect skilled in the Databricks ecosystem to design and deliver agentic AI and data platform solutions on AWS and Databricks. You will shape conversational analytics, agent orchestration, and semantic foundations supporting governed business context.

You will architect data warehouse and lakehouse solutions, define ontologies and knowledge graphs, and ensure robust data cataloging and governance across teams and platforms.