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# Senior Data Technology Consultant, Databricks Data & AI Practice

- **Company:** EPAM Systems, Inc.
- **Location:** San Francisco, CA, United States (Remote available)
- **Experience:** Expert
- **Salary:** $180,000.0 - $220,000.0
- **Contract:** Permanent contract
- **Skills:** Unity 3d, Artificial Intelligence, Amazon Web Services, Microsoft Azure, Cloud Computing, Continuous Integration, Machine Learning, Power BI, Cloud Services, Software Deployment, Tableau (Software), Technical Data Management Systems, Apache Spark, Generative AI, Data Lakes, Data Management, Machine Learning Operations, Terraform, Databricks
- **Published:** November 7, 2026
- **Apply:** https://dejobs.org/x/x/4B14C13F467047F992A54D029DDD1DC5/job/

## About the Role

* Databricks Expertise: Deep, hands-on experience across the Databricks platform. This includes Spark, Delta Lake, Unity Catalog, Workflows, Lakeflow/DLT, Databricks SQL, and Mosaic AI/MLflow. You should have a track record of leading complex, enterprise-scale Databricks implementations, such as platform builds, data migrations, and ML/GenAI production deployments
 * Cloud & Ecosystem: Strong working knowledge of at least one major cloud (AWS, Azure, or GCP) and of the partner technologies commonly used with Databricks, such as dbt, Fivetran, Power BI/Tableau, and Terraform
 * Consulting & Presales Background: Substantial experience in presales, solution architecture, or consulting centered on Databricks and data/AI use cases
 * Communication & Storytelling: Outstanding ability to translate complex Lakehouse and AI concepts into clear, client-friendly narratives for senior stakeholders
 * Commercial & Proposal Acumen: Proven ability to produce detailed proposals, RFP responses, and pricing and engagement models for Databricks-based services
 * Strategic Advisory Skills: Strong grasp of consulting principles, with the ability to define future-state recommendations, roadmaps, and project scopes in fast-paced settings
 * Must have: Databricks certifications (e.g., Data Engineer Professional, Machine Learning Professional, or Generative AI Engineer) and experience with Databricks partner programs

## Description

* Architect Databricks Solutions: Design Lakehouse architectures and AI solutions on Databricks. This covers Delta Lake, Unity Catalog governance, Lakeflow/Delta Live Tables pipelines, Databricks SQL, and Mosaic AI (ML, GenAI, agents, Model Serving). Where needed, integrate with cloud services and partner technologies
 * Lead the Presales Lifecycle: Own opportunity solution design, technical scoping, and effort estimation for Databricks engagements, including migrations to Databricks, platform builds, and AI/ML use cases
 * Facilitate Discovery: Run client workshops to capture business objectives, assess current-state data platforms, and define the target-state architecture and Databricks adoption path
 * Drive Commercial Success: Craft proposals, pricing and engagement models, and value propositions. Work with Databricks account teams to win and expand engagements
 * Lead Delivery: Guide teams from advisory through production, applying Databricks best practices for performance, cost optimization (FinOps), security, CI/CD, and MLOps/LLMOps