Senior Data Technology Consultant, Databricks Data & AI Practice

EPAM Systems • New York, NY

2d

About The Position

The Senior Data Technology Consultant will join the Databricks Data & AI Consulting Practice and own end-to-end Databricks initiatives. This hands-on leadership role combines deep Databricks expertise with commercial ownership and client impact. During presales, the consultant designs Lakehouse and AI solutions; after an engagement is won, they lead strategic client work from advisory through production.

Requirements

• Deep, hands-on experience across the Databricks platform, including Spark, Delta Lake, Unity Catalog, Workflows, Lakeflow/Delta Live Tables, Databricks SQL, and Mosaic AI/MLflow.
• A track record of leading complex, enterprise-scale Databricks implementations, such as platform builds, data migrations, and production ML/GenAI deployments.
• Strong working knowledge of at least one major cloud platform: AWS, Azure, or GCP.
• Substantial presales, solution architecture, or consulting experience centered on Databricks and data/AI use cases.
• Outstanding ability to explain complex Lakehouse and AI concepts clearly to senior stakeholders.
• Proven ability to produce detailed proposals, RFP responses, pricing, and engagement models for Databricks-based services.
• Strong consulting and strategic advisory skills, including defining future-state recommendations, roadmaps, and project scopes in fast-paced settings.
• Databricks certifications, such as Data Engineer Professional, Machine Learning Professional, or Generative AI Engineer.
• Experience with Databricks partner programs.

Nice To Haves

• Experience with partner technologies commonly used with Databricks, such as dbt, Fivetran, Power BI/Tableau, and Terraform.

Responsibilities

• Design Databricks Lakehouse architectures and AI solutions using technologies such as Delta Lake, Unity Catalog, Lakeflow/Delta Live Tables, Databricks SQL, and Mosaic AI; integrate cloud services and partner technologies where needed.
• Own presales opportunity solution design, technical scoping, and effort estimation for Databricks engagements, including migrations, platform builds, and AI/ML use cases.
• Facilitate client workshops to capture business objectives, assess current-state data platforms, and define target-state architecture and Databricks adoption paths.
• Develop proposals, pricing and engagement models, and value propositions; work with Databricks account teams to win and expand engagements.
• Lead teams from advisory through production, applying Databricks best practices for performance, cost optimization (FinOps), security, CI/CD, and MLOps/LLMOps.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed