Remote Databricks Solution Architect - Data & AI

EPAM Systems; Atlanta (GA); Remote; USD 180,000 - 210,000; Full time

Benefits offered by this job

Health insurance

401(k) plan

Unlimited LinkedIn learning

Paid time off

Job summary

EPAM Systems is seeking a Databricks Solution Architect to design governed data, analytics, and AI platforms on Databricks for enterprise clients. You will join pre-sales pursuits to shape solutions, estimates, and proposals while collaborating with multinational teams.

The role requires 8+ years in data engineering/architecture and hands-on Databricks experience, with strong Python/SQL and cloud know-how. Remote US/Canada with extensive client-facing responsibilities.

Qualifications

• 8+ years in data engineering/architecture or software dev with 3+ years on Databricks
• Hands-on Python and SQL; Scala a plus
• Deep knowledge of Spark, Delta Lake, Lakeflow, Unity Catalog, Databricks SQL
• Experience with Azure/AWS/GCP data services and security models
• Proven leadership of large client projects including pre-sales

Responsibilities

• Design end-to-end Lakehouse architectures on Databricks (multi-cloud)
• Lead discovery workshops with client executives and engineering teams
• Collaborate with sales on pursuits: shape solutions, RFPs, proposals
• Define target architectures and migration paths to Databricks
• Architect governance with Unity Catalog and data security
• Design AI solutions including MLOps on Databricks
• Guide delivery teams through build and go-live phases
• Perform Spark/Databricks performance tuning and FinOps reviews

Skills

Databricks

Python

SQL

Spark

Unity Catalog

Cloud platforms

Pre‑sales

English communication

CI/CD

Terraform

MLOps

Tools

Kafka

Flink

MLflow

Job description

EPAM Systems is seeking a Databricks Solution Architect to design governed data, analytics, and AI platforms on Databricks for enterprise clients. You will join pre-sales pursuits to shape solutions, estimates, and proposals while collaborating with multinational teams.

The role requires 8+ years in data engineering/architecture and hands-on Databricks experience, with strong Python/SQL and cloud know-how. Remote US/Canada with extensive client-facing responsibilities.