Are you a seasoned Data Delivery Manager with expertise in Databricks, seeking an exciting opportunity to lead transformative projects in the Data and Analytics domain? At EPAM, we are looking for a dynamic professional to ensure the end-to-end success of complex programs, projects, or multiple workstreams.
In this high-impact role, you'll be at the forefront of innovation, working alongside award-winning global teams passionate about delivering faster, high-quality solutions-even for the most intricate data engineering challenges. As a key driver of delivery excellence, you'll define strategies, foster strong business-technology relationships, and champion a culture of continuous improvement.
If you're ready to collaborate with some of the world's biggest brands and be part of a supportive team at a global leader in digital transformation, this is your next career move. Apply now to start your journey with EPAM!

• Own end-to-end solution delivery for assigned account(s), serving as the primary point of responsibility for delivery matters, including escalations, upsells, and ramp-downs
• Govern delivery processes and production in alignment with the selected delivery model
• Manage delivery resources by ensuring appropriate staffing with the right skills and seniority levels to meet project roadmaps
• Ensure technical leadership for delivery, including planning future-proof architectures and maintaining technical quality standards
• Coordinate across disciplines and stakeholders to align project goals and expectations
• Build and sustain long-term client partnerships, addressing issues, managing risks, and ensuring client satisfaction
• Prepare customer proposals, statements of work, and ensure adherence to EPAM processes, methodologies, and agile delivery models
• Develop and maintain delivery plans, including timeframes, quality metrics, and resource allocation
• Implement continuous delivery risk management strategies, enabling proactive decisions throughout the lifecycle
• Contribute to sales activities, including bid processes, technical expertise, and mentoring delivery managers

• Proven experience delivering projects in Data and Analytics, including Big Data, Data Warehousing, and Business Intelligence, with familiarity with industry best practices
• Strong understanding of data engineering challenges and hands-on experience with data platform engineering, including batch and streaming processes
• At least 5 years of experience gathering and interpreting customer business requirements to implement Big Data technologies
• Familiarity with multiple Big Data technology stacks (e.g., Hadoop, Spark, Kafka) and hands-on knowledge of tools like Python or Scala
• Experience with data visualization tools and technologies, as well as predictive analytics and machine learning techniques
• Solid knowledge of classical analytics methods and relevant theories
• Proficiency in delivery methodologies, particularly agile, and an understanding of data security challenges
• Experience with leading cloud providers (AWS, Azure, GCP) and on-premises to cloud migration projects
• Strong presentation skills with the ability to engage both small and large audiences
• Proven ability to manage multiple tasks and projects effectively in a dynamic environment

• Extended 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 Disability
• Paid Time Off (including vacation and sick days)
• Registered Retirement Savings Plan (RRSP) with Company match
• Maternity/Parental/Adoption Leave Top-up
• Employee Stock Purchase Program
• Critical Illness Insurance
• Employee Discounts
• Unlimited access to LinkedIn learning solutions