We are hiring a strategic Databricks & Modern Data Platforms leader who has experience working with a dynamic team, designing impactful strategies, and solving complex business problems for large, global organizations. This is a high-impact role, with endless opportunities to develop new skills and advance your career. If you are looking for a place where you can truly thrive, this is the perfect opportunity for you. Apply now!
Req.#579319369

REQUIREMENTS

• Deep experience with Databricks (Delta Lake, Unity Catalog, Workflows, MLflow) and modern data platforms (AWS, Azure, or GCP)
• Strong understanding of enterprise data architecture, including data lakes, lakehouses, data mesh, and streaming architectures
• Proven ability to influence senior stakeholders and articulate technical strategies in business terms
• A natural storyteller and communicator with a consultative mindset and ability to lead without authority
• Experience in both pre-sales and delivery, capable of switching between execution and strategic advisory modes

• Diverse Data and AI Disciplines
• Manage and harmonize efforts across diverse data disciplines, aligning delivery with strategic business outcomes
• Serve as a bridge between business and technology, translating complex business needs into scalable data platform solutions
• Create and promote key technological assets such as blueprints, reference architectures, accelerators, and methodologies across data modernization efforts
• Provide technical oversight on end-to-end data engagements, from discovery and MVP to enterprise-scale delivery
• Lead EPAM customers in solving complex business and technological challenges
• Migrating legacy data and analytics platforms to modern cloud-native architectures (Databricks, Delta Lake, Unity Catalog, etc.)
• Integrating AI/ML capabilities into the data ecosystem and aligning them with business objectives
• Designing and implementing robust data pipelines with high-quality gates, lineage, and governance
• Establishing scalable and secure Lakehouse architectures using Databricks and related tools
• Driving enterprise-wide federated data models and operating frameworks that enable collaboration, agility, and trust
• Advising on enterprise data strategy across governance, MDM, metadata management, and architectural best practices
• Build and sustain trusted relationships with senior business and technical stakeholders
• Act as a thought leader and evangelist — communicating the business value of data and analytics while facilitating buy-in for transformation initiatives
• Proactive about trying to solve customer problems
• Collaborate with EPAM leadership to shape strategic investments and innovation in the Data & Analytics domain
• Champion the development of internal IP (accelerators, templates, reusable frameworks) and strategic partnerships
• Lead cross-functional advisory and delivery teams, ensuring actionable insights and measurable business value
• Engage in digital opportunity assessments, technical discovery, and business case development
• Contribute to proposal writing, RFP responses, pitch presentations, and technical solutioning
• Effectively articulate and “sell” technical solutions in business-friendly language, with strong storytelling and communication skills