Chief Technology Officer — Databricks Data & AI Platform

We are seeking an accomplished technology executive to serve as Chief Technology Officer for our Databricks Data & AI consulting practice. As the senior technical authority for Databricks and the public voice of the practice, you will guide clients through data strategy, architecture and migration to Databricks, lead the technical side of pursuits, own the Databricks relationship, and build the practice's assets and market presence.Reporting to the CEO, you will partner with client executives, our account and delivery leaders, Databricks' field teams, and industry analysts. Success is measured by:Client outcomes: successful migrations and data and AI capabilities in productionPractice growth: pipeline influenced, deals won and reusable assets in useDatabricks channel and market presence: co-sell pipeline, partner program standing, and analyst and media visibilityReq# 1112776496The recruiting efforts for this position are intended to fill an existing vacancy for a new position.ResponsibilitiesShape Client Data & AI Strategy: Advise client executives on multi-year data and AI platform strategy, target-state architecture, governance and AI readiness, and set the practice's vision and offerings for AI modernization, agentic analytics and advanced analyticsSet Architecture & Engineering Standards: Define reference architectures and standards for Lakehouse and medallion architecture, Unity Catalog governance, Lakeflow pipelines and Mosaic AI, together with production-grade practices for CI/CD, MLOps, FinOps and the production release cycleLead Strategic Pursuits: Own the technical side of major Databricks opportunities, from discovery workshops and assessments to solution design, effort estimation, RFP responses, SOW shaping and executive presentations, and act as technical reviewer and escalation point across engagementsDrive Legacy Modernization: Lead the design of migration programs from legacy data warehouses and ETL platforms to Databricks, and build the practice's migration toolkit of assessment templates, conversion accelerators and reconciliation frameworksOwn the Databricks Partnership: Lead the technical relationship with Databricks, including co-selling, joint go-to-market and roadmap briefings, and grow the practice's standing in the Databricks partner program alongside AWS, Azure and GCP relationshipsBuild the Practice & Market Presence: Create reusable assets and solution offerings, lead public relations and analyst relations as the practice's primary technical spokesperson, and represent EPAM at conferences, webinars and Databricks community eventsRequirementsExecutive Background: 10+ years of progressive technology leadership, including 5+ years as a CTO, VP Engineering, Chief Architect or equivalent, with consulting, systems-integrator or partner-services experience and a proven ability to influence and align senior technical leaders across teamsDeep Databricks Expertise: Hands-on experience designing and delivering enterprise-scale production systems on Databricks (Lakehouse, Delta Lake, Lakeflow, structured streaming, Unity Catalog, multi-workspace or multi-cloud deployments), with the ability to dive into the detail of every step: reviewing designs, data models, code, performance and costLegacy Migration Track Record: Demonstrated success leading migrations from legacy data warehouses and ETL tools (e.g., Teradata, Netezza, Oracle, SQL Server, Informatica, SSIS) to Databricks, through assessment, wave planning, code conversion, reconciliation and cutover, with the judgement to validate estimatesAI & Advanced Analytics: Track record of shipping production ML and generative AI systems, and experience with AI modernization, agentic analytics and advanced analytics (e.g., Agent Bricks, AI/BI Genie, RAG, predictive models) delivering measurable business impactEngineering Excellence: Strong command of Apache Spark internals, at least one major cloud (AWS, Azure, GCP), CI/CD with Databricks Asset Bundles, infrastructure-as-code, MLOps and FinOps, plus hands-on Python/PySpark and SQL, and experience establishing governance and security in regulated industriesMarket & Ecosystem Knowledge: Ability to position Databricks credibly against Snowflake, Microsoft Fabric, BigQuery and AWS-native analytics, and solid knowledge of interoperability (Delta Lake, Iceberg, UniForm, Delta Sharing) and the surrounding BI, orchestration and streaming ecosystemCertifications: A Databricks professional- or architect-level credential (e.g., Data Engineer Professional, Platform Architect accreditation), or commitment to obtain one within 6 months; ML/GenAI certifications, partner accreditations, or Databricks Champion/MVP status are a strong plusExecutive Communication & Thought Leadership: Exceptional storytelling, presentation and executive advisory skills, with experience representing an organization to board-level stakeholders, industry analysts (e.g., Gartner, Forrester, Everest Group, ISG) and the mediaWe 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 EPAMThis posting includes a salary range EPAM Canada would reasonably expect to pay the selected candidate. Individual compensation offers within the range are based on a variety of factors, including, but not limited to, experience, credentials, education, training, the demand for the role, skillset, and overall business and local labour market considerations. Most candidates are hired at a salary within the range disclosed. Salary range: CA$210,000-CA$230,000. In addition, the details highlighted in this job posting above are a general description of all other expected benefits and compensation for the position.EPAM Canada welcomes and encourages applications from candidates with disabilities. Please contact WFA Human Resource CA View email address on apply.j-vers.com 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. #J-18808-Ljbffr