Data Platform Consultant
Hybrid Jammu Full-time Mid-level Data Engineering
At a glance
Mid-level Data Engineering role at Snap Analytics. Jammu · full-time.
Pay not stated Data Engineering salary
RoleData Engineering
SeniorityMid-level
LocationJammu
WorkplaceHybrid
EmploymentFull-time
PostedJul 29, 2026 · 2mo ago
Role brief
dataroles summary, based on the employer's posting.
What you'll do
- Lead client data projects, translating stakeholder needs into delivered solutions
- Build cloud data pipelines and models with SQL, Snowflake, Databricks, Matillion or dbt
- Guide client discussions, present options and explain the trade-offs between solutions
- Mentor junior colleagues, improve internal ways of working and spot opportunities to deepen client value
- Set project direction with clients and lead a small team through complex data delivery
What you bring
- At least four years managing project priorities independently and delivering outcomes
- Strong SQL ability and hands-on ETL experience, such as with Fabric Data Factory or dbt
- Practical knowledge of modern cloud data platforms, including Snowflake, Databricks or another listed platform
- Consulting judgment, clear communication and experience building stakeholder agreement
Who this fits
This role suits a data engineering consultant who wants regular client contact, project leadership and mentoring responsibilities. It is focused on data engineering and analytics rather than data science or machine learning. The role is hybrid in the India office, with the listing naming Pune as the location.
From the employer
Location: Pune
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.
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. 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:
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. 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
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