Senior Data Technology Consultant, Databricks Data & AI Practice

EPAM Systems; California; Híbrido; USD 180.000 - 260.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Extended Healthcare with Prescription 

Dental and Vision

Health Spending Account (Company Paid)

Life and AD&D Insurance (Company Paid)

Employee Assistance Program (Company 

Telehealth (Company Paid)

Short-term Disability (Company Paid)

Long-Term Disability

RRSP with Company match

Maternity/Parental/Adoption Leave Top‑

Employee Stock Purchase Program

LinkedIn learning access

Descripción de la vacante

EPAM Systems Inc. seeks a Senior Data Technology Consultant to own end-to-end Databricks initiatives in its Databricks Data & AI Consulting Practice.

You will design Lakehouse architectures, oversee presales activities, and guide client engagements from advisory through production, integrating with cloud services and partner technologies. You will play a hands-on leadership role, combining deep Databricks expertise with commercial ownership to deliver scalable ML/GenAI deployments, secure

Formación

• Databricks certifications (Data Engineer Pro / Machine Learning Pro / Generative AI Engineer) are required or strongly preferred.
• Extensive presales, solution architecture, or consulting experience focused on Databricks and data/AI use cases.
• Ability to translate Lakehouse and AI concepts into client-friendly narratives for senior stakeholders.
• Experience delivering enterprise-scale Databricks implementations, migrations, and ML/GenAI production deployments.

Responsabilidades

• Architect Databricks solutions: design Lakehouse architectures, Delta Lake governance, and AI solutions on Databricks.
• Lead presales lifecycle: scope, design, and estimate engagements including migrations and AI/ML use cases.
• Facilitate discovery sessions to capture objectives and define target architectures and adoption paths.
• Drive commercial success: craft proposals, pricing models, and value propositions with account teams.
• Lead delivery: oversee teams from advisory to production with best practices in performance, FinOps, security, CI/CD, and MLOps/LLMOps.

Conocimientos

Databricks

Delta Lake

Unity Catalog

Lakeflow/DLT

Databricks SQL

Mosaic AI

MLflow

Cloud platforms

dbt

Fivetran

Power BI

Tableau

Terraform

Presales

Solution architecture

Herramientas

dbt

Fivetran

Power BI

Tableau

Terraform

Descripción del empleo

We are looking for seasoned Senior Data Technology Consultants to join our Databricks Data & AI Consulting Practice. You will own end-to-end Databricks initiatives. In pre-sales, you will design the Lakehouse and AI solution. After the win, you will lead strategic client engagements from advisory through production. This is a hands-on leadership role for technologists who combine deep Databricks expertise with commercial ownership and client impact.Req.#1128476334The recruiting efforts for this position are intended to fill an existing vacancy for a new position.ResponsibilitiesArchitect 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 technologiesLead 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 casesFacilitate Discovery: Run client workshops to capture business objectives, assess current-state data platforms, and define the target-state architecture and Databricks adoption pathDrive Commercial Success: Craft proposals, pricing and engagement models, and value propositions. Work with Databricks account teams to win and expand engagementsLead Delivery: Guide teams from advisory through production, applying Databricks best practices for performance, cost optimization (FinOps), security, CI/CD, and MLOps/LLMOpsRequirementsDatabricks 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 deploymentsCloud & 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 TerraformConsulting & Presales Background: Substantial experience in presales, solution architecture, or consulting centered on Databricks and data/AI use casesCommunication & Storytelling: Outstanding ability to translate complex Lakehouse and AI concepts into clear, client-friendly narratives for senior stakeholdersCommercial & Proposal Acumen: Proven ability to produce detailed proposals, RFP responses, and pricing and engagement models for Databricks-based servicesStrategic Advisory Skills: Strong grasp of consulting principles, with the ability to define future-state recommendations, roadmaps, and project scopes in fast-paced settingsMust have: Databricks certifications (e.g., Data Engineer Professional, Machine Learning Professional, or Generative AI Engineer) and experience with Databricks partner programsWe offerExtended Healthcare with Prescription Drugs, Dental and Vision, and Healthcare Spending Account (Company Paid)Life and AD&D Insurance (Company Paid)Employee Assistance Program (Company Paid)Telehealth (Company Paid)Short-term Disability (Company Paid)Long-Term DisabilityPaid Time Off (including vacation and sick days)Registered Retirement Savings Plan (RRSP) with Company matchMaternity/Parental/Adoption Leave Top-upEmployee Stock Purchase ProgramCritical Illness InsuranceEmployee DiscountsUnlimited access to LinkedIn learning solutionsEPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our clients, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.Engineer the Future with a Career at EPAMEPAM Canada welcomes and encourages applications from candidates with disabilities. Please contact WFA Human Resource CA [e-mail] if you have questions in this regard, or if you require an accommodation to complete the application process. Click here to review EPAM’s Accessibility for Ontarians with Disabilities Accessibility Policies and Multi-Year Access.An artificial intelligence system is software that is developed with one or more techniques that can, for a given set of human-defined objectives, using algorithmic information processing, generate outputs such as content, predictions, recommendations, or decisions with varying levels of autonomy (“AI”). Tasks that humans have traditionally done by thinking and reasoning are increasingly being done by, or with the help of, AI to help create efficiencies.EPAM may use AI during the recruitment process, in connection with collecting or processing your personal data. Some (non-exhaustive) examples of tasks that EPAM may use AI for include conducting initial screening, creating transcripts of interviews, and assessing applications/CVs against defined job description criteria to make suggestions to the individuals evaluating your candidacy.Your personal data and the results of any processing are not shared with AI applications outside of EPAM infrastructure. While EPAM may use AI to help create efficiencies during the recruitment process, EPAM does not use AI to make hiring decisions, which is done by EPAM Talent Acquisition and management.