Databricks Solution Architect; Data & AI

We are seeking a Databricks Solution Architect to join EPAM's Data & AI practice in North America. You will design and deliver governed data, analytics, and AI platforms on Databricks for enterprise clients, and you will join pre-sales pursuits to shape solutions, estimates, and proposals.

EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture, and you will collaborate with multinational teams on innovative projects while continuing to learn and grow.

Req.#

• Design end to end Lakehouse architectures on Databricks (Azure, AWS, or GCP), covering ingestion, medallion modeling, serving, governance, and cost control

• Lead discovery and architecture workshops with client executives and engineering teams, and present proposed solutions and roadmaps clearly

• Partner with sales and the Databricks field team on pursuits: shape solutions, answer RFPs, build proposals, estimate effort, and run POCs

• Define target architectures and migration paths from other solutions to Databricks

• Architect governance with Unity Catalog, including access control, lineage, data sharing, and compliance with client security requirements

• Design AI solutions, including RAG, agentic workflows, Model Serving, Vector Search, and MLflow based LLMOps and MLOps

• Guide delivery teams through build and go live, and review, audit, and improve existing designs and system architectures

• Run performance tuning, optimization, and Fin Ops reviews for Spark and Databricks SQL workloads

• 8+ years of experience in data engineering, data architecture, or software development, including 3+ years designing solutions on Databricks

• Hands‑on proficiency in Python and SQL;
  Scala is a plus

• Deep knowledge of Apache Spark, Delta Lake, Lakeflow (Spark Declarative Pipelines and Jobs), Databricks SQL, and Unity Catalog

• Experience with at least one major cloud (Azure, AWS, or GCP) and its data services, networking, and security model

• Proven experience leading large, client driven implementation projects, including pre‑sales and proposal work

• Experience with streaming and messaging tools such as Kafka, Event Hubs, Kinesis, or Flink

• Knowledge of design patterns, CI/CD, infrastructure as code (Terraform), and Databricks Asset Bundles

• Working knowledge of AI on Databricks (Mosaic AI, Agent Bricks, MLflow)

• Strong communication and consulting skills, with fluent English (B2+ or higher)

• Authorization to work in the US or Canada

• Databricks Solution Architect Champion certification (a big plus), plus certifications such as Data Engineer Professional, Generative AI Engineer Associate, or Machine Learning Professional

• Medical, Dental and Vision Insurance (Subsidized)

• Health Savings Account

• Flexible Spending Accounts (Healthcare, Dependent Care, Commuter)

• Short‑Term and Long‑Term Disability (Company Provided)

• Life and AD&D Insurance (Company Provided)

• Employee Assistance Program

• Unlimited access to Linked In learning solutions

• Matched 401(k) Retirement Savings Plan

• Paid Time Off – the employee will be eligible to accrue 15-25 paid days, depending on specific level and tenure with EPAM (accrual eligibility may change over time)

• Paid Holidays - nine (9) total per year

• Legal Plan and Identity Theft Protection

• Accident Insurance

• Employee Discounts

• Pet Insurance

• Employee Stock Purchase Program

• If otherwise eligible, participation in the discretionary annual bonus program

• If otherwise eligible and hired into a qualifying level, participation in the discretionary Long-Term Incentive (LTI) Program

This posting includes a good…