About this role
Location: Pune, India Work Mode: Hybrid (In Pune Office) At Snap Analytics, we don’t just build data stacks; we engineer the “invisible engines” that power global industry. In seven years, we have grown from a founding idea to nearly 200 specialists, sustaining a 200% year-on-year growth trajectory and we are still in the early chapters. We specialise in transforming the most complex data challenges into the foundations for elite advanced analytics and AI, and the people who join us now will help shape what comes next. Supporting high-performance engineering in elite F1 racing teams. Powering the digital transition for over 5.8 million energy consumers. Optimising supply chains that reach 94% of UK households. Supporting the financial futures of over one million families through the platforms we build for leading wealth management firms. We’re scaling fast and staying true to what makes us different: a “no-ego” collaborative culture, a relentless focus on customer success. We’re looking for senior leaders. We hire seasoned experts who act as strategic partners, capable of navigating the boardroom and the modern cloud data estate with equal poise. You will join an award-winning team trusted by Fortune 500 and FTSE 250 organisations to steer their most critical digital transformations. If you are ready to own high-stakes programmes and mentor the next generation of data & AI talent in a rapidly expanding firm, we want to hear from you. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career defining opportunity. Why this role exists… As our client engagements become increasingly large-scale, strategic, and AI-led, the need for strong senior leadership has never been greater. This role exists to: Lead enterprise-wide data transformation programmes that have long-term, measurable impact Bridge the gap between deep technical expertise and business strategy Expand Snap’s ability to operate as a trusted advisor at board and executive level Strengthen our India capability, positioning it as a global delivery and innovation engine The Senior Data Platform Consultant is not just a senior role it is a multiplier role, shaping outcomes across clients, teams, and the organisation itself. It reflects: The belief that individual expertise should have visibility and influence India-based consultants own and lead global programmes end-to-end, not just contribute to execution Direct exposure to global stakeholders, decisions and outcomes not layered delivery structures. Enable, activate, and grow your associate consultants: Your primary obligation is to the development and performance of the associate consultants in your practice. You will coach them through complex client scenarios, review their technical outputs, and create the conditions for them to grow into confident, independent practitioners. Drive outcome-based delivery for EMEA brands: Working across our Snowflake and Databricks teams, you will own specific workstreams and contribute to the design and execution of data platform engagements for leading organisations across Europe, the Middle East, and Africa. Anchor client relationships with credibility and craft: You will engage directly with senior client stakeholders across EMEA, translating complex platform decisions into clear, commercially aware recommendations. You bring the kind of presence and depth that builds long-term trust with enterprise clients. Shape the practice from within: As a senior voice you will contribute to the evolution of our methodologies, tooling standards, and knowledge-sharing culture. Whether that is through running internal enablement sessions, contributing to proposal development, or mentoring the next cohort of consultants, you actively invest in what makes this team exceptional and thought leadership. In your first 3–6 months, success might look like: Leading a strategic data transformation programme for a key client. Ensure data platforms are built to support advanced analytics and AI use cases at scale Work with clients to move from data maturity → AI adoption → AI value realisation Building trusted relationships with senior stakeholders and identifying new growth opportunities Shaping an internal initiative that enhances Snap’s delivery capability or training strategy Establishing credibility as a go-to leader across both client and internal teams