The Role
Lead delivery of cloud data platform solutions: design and build pipelines on Snowflake/Databricks using SQL, PySpark and ETL tools, implement CI/CD, work client-facing to run workshops, mentor junior staff, and identify business value.
Summary Generated by Built In
Location: Pune
Mode: Hybrid (In India Office)
Why this role exists…
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.
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.
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
In your first 3–6 months, success might look like:
- 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
What you'll need to succeed...
We’re looking for someone who brings technical expertise, consulting experience, and leadership capability.
You might be a great fit if you have:
- 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
This role might not be the right fit if you’re looking for:
- A purely technical role with minimal client interaction
- A focus on data science or machine learning rather than data engineering and analytics
Why choose Snap
At Snap Analytics, we don’t see India as a delivery hub we see it as a strategic driver of global Data & AI transformation.
- Your voice shapes global outcomes
- Your expertise leads, not follows
- Your impact is visible at every level from engineering to boardroom
If you’re ready to operate at the intersection of Data, AI, and leadership, this is your platform.
About
Snap Analytics is a specialist data and AI consultancy that designs and engineers modern cloud data platforms for large enterprises. We’re the team of “invisible engines” that turn complex, siloed data into a trusted foundation for analytics and AI. Founded in Bristol in 2019, we’re best known for our deep SAP expertise combined with modern platforms like Snowflake, Databricks, Fivetran, dbt and AWS. We believe in creating a world where data makes sense for everyone and that technology alone doesn’t solve problems: it takes skilled people who understand business processes, working with a no-ego, customer-first mindset.We work with global enterprises in manufacturing, energy, retail and consumer goods, and financial services to bring their SAP and non-SAP data together into one governed, well-engineered platform so they can make faster decisions, cut cost and complexity, and put AI use cases into production. Our work includes high-performance engineering for elite Formula 1 racing teams, the digital transition for more than 5.8 million UK energy customers, supply chains that reach 94% of UK households, and wealth-management platforms supporting over one million families. Every engagement is delivered through Snap 360, our delivery framework, built on four pillars: Data, People, Processes and Technology.This is a genuinely exciting time to join; demand for SAP-to-cloud modernisation and enterprise AI is accelerating, and we’re scaling our teams across the UK, India and South Africa to meet it. Honestly, rapid growth also means some of our internal processes and team structures are still evolving, and as a consultancy your priorities will often be shaped by client timelines, so you’ll need to be comfortable with change.
Skills Required
- Strong SQL skills
- Experience building data pipelines for Snowflake, Databricks or other cloud data warehouses
- Experience with ETL tools (Fabric Data Factory, Matillion, or equivalent) and dbt
- Proficiency in PySpark
- Experience with CI/CD pipelines using Bitbucket or GitHub
- Experience with cloud platforms and services (AWS or equivalent) including SQS, SNS, Cloud storage, CloudWatch
- Familiarity with other cloud warehouses: Redshift, BigQuery, Synapse
- Consulting experience with stakeholder facilitation and workshop delivery
- Leadership experience mentoring junior colleagues and leading small teams
- Strong communication skills and ability to design and implement strategic technical solutions
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The Company
What We Do
Snap Analytics is a global data analytics and AI consultancy that designs and engineers data stacks, helping organizations unlock the full value of their data by connecting data, technology, and teams.
