Senior Databricks Data & AI Solution Architect | Remote

Eliassen Group; Trenton (NJ); Remote; USD 138,000 - 145,000; Full time

Benefits offered by this job

Medical benefits

401k with match

Life insurance

Job summary

Eliassen Group is seeking a Senior Solution Architect to lead a Data & AI modernization initiative, owning architecture across Databricks platforms, governance, and AI/agent enablement. You will work with platform, data, security, and engineering stakeholders while guiding senior Data & AI engineers in implementing standards and best practices.

The role is hands-on, remote, and requires strong leadership in enterprise data architecture, CI/CD, and cost optimization.

Qualifications

• Deep experience with Databricks Lakeflow connect capabilities and AWS analytics services.
• Experience addressing ingestion challenges from Lakeflow connect, including CDC handling and reconciliation.
• Expertise with data quality libraries and configuration-based frameworks that plug DQ into ingestion pipelines.

Responsibilities

• Lead a Databricks Well‑Architected assessment across platform architecture, observability, pipelines, consumption, data quality, security, governance, and cost.
• Establish architectural patterns supporting scalable data ingestion, transformation, analytics, AI, and agent-based solutions.
• Define data architecture standards for Bronze, Silver, and Gold medallion layers.
• Define the architecture for an AI-ready Gold layer with governed data products and semantic layers.
• Provide architectural direction and mentorship to Data & AI Engineers; lead reviews and establish reusable standards.

Skills

Databricks Lakeflow

AWS analytics

Data governance

CI/CD

Platform scalability

Tools

Databricks

Lakeflow

Unity Catalog

MCP endpoints

Job description

Eliassen Group is seeking a Senior Solution Architect to lead a Data & AI modernization initiative, owning architecture across Databricks platforms, governance, and AI/agent enablement. You will work with platform, data, security, and engineering stakeholders while guiding senior Data & AI engineers in implementing standards and best practices.

The role is hands-on, remote, and requires strong leadership in enterprise data architecture, CI/CD, and cost optimization.