Remote Senior Databricks Data & AI Platform Architect

Eliassen Group; Atlanta (GA); Remote; USD 138,000 - 145,000; Full time

Benefits offered by this job

Medical, Dental, Vision benefits

401k with company matching

Life insurance

Job summary

Eliassen Group is seeking a Senior Solution Architect to lead Data & AI modernization efforts, focusing on Databricks platform design, governance, and AI-enabled data products.

This remote, contract role demands hands-on architecture leadership across enterprise patterns and security With a focus on Well‑Architected principles, you will drive standardization, mentorship, and scalable data pipelines, working with stakeholders across security, platform, and engineering to deliver measurable

Qualifications

• Deep experience with Databricks Lakeflow and AWS analytics.
• Proven ability to design enterprise Databricks lakehouse architectures.
• Experience with medallion architecture (Bronze/Silver/Gold).
• Experience designing governance, ABAC/RBAC, data classification and lineage.

Responsibilities

• Lead a Databricks Well‑Architected assessment across platform architecture and governance.
• Define target‑state architecture and technical standards for Data & AI platform.
• Establish standards for development, test, CI/CD, monitoring and production operations.
• Design AI-ready data patterns and governance for data products and semantic layers.
• Provide architectural direction and mentorship to Data & AI engineers.

Skills

Databricks Lakeflow

AWS analytics

Data governance

CI/CD

AI/GenAI

Stakeholder leadership

Security and access control

Tools

Databricks Lakeflow

Unity Catalog

Job description

Eliassen Group is seeking a Senior Solution Architect to lead Data & AI modernization efforts, focusing on Databricks platform design, governance, and AI-enabled data products.

This remote, contract role demands hands-on architecture leadership across enterprise patterns and security With a focus on Well‑Architected principles, you will drive standardization, mentorship, and scalable data pipelines, working with stakeholders across security, platform, and engineering to deliver measurable