About the role
Mode: Hybrid (In India Office)
Why this role exists…
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.
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. What you'll be doing...You’ll lead the delivery of data solutions for our clients, working closely with stakeholders to understand business needs and implement high-quality outcomes.
Your core responsibilities will include:
- Working experience of 4 + Years in Managing priorities independently and driving outcomes across projects.
- Building data pipelines for Snowflake/ Databricks or any other modern Cloud datawarehouse/datalakes using Snowflake, Databricks and models using tools like SQL, Snowflake, Databricks, Matillion and DBT
- Should be proficient in Pyspark, Fabric data factory/any ETL tool, Building CI/CD pipeline using bit bucket/git hub, Used AWS or equivalent cloud services - SQS, SNS, Cloud storage, cloud watch etc.
- Facilitating discussions with clients, adapting your style to different audiences
- Offering multiple approaches to solve problems and balancing trade-offs
- Should have good communication skill and can design/implement strategic tech solutions
- Mentoring junior colleagues and contributing to internal improvements
- Identifying opportunities to add business value and strengthen client relationships
- Leading a small team to deliver a complex data solution
- Facilitating a workshop with a client to shape project direction
- Receiving positive feedback on your leadership and strategic thinking
- Strong SQL skills and working experience of 4+ Years with ETL tools like Fabric Data Factory, DBT etc
- Deep familiarity with cloud platforms like Snowflake, Databricks, Redshift, BigQuery, or Synapse
- A consultative mindset and ability to build consensus across stakeholders
- Experience mentoring others and driving internal improvements
- A purely technical role with minimal client interaction
- A focus on data science or machine learning rather than data engineering and analytics
- Your voice shapes global outcomes
- Your expertise leads, not follows
- Your impact is visible at every level from engineering to boardroom