Senior Data Platform Consultant (Databricks)
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Job Summary
The Headlines...
Location - Hybrid in our Pune Office
A few application tips
We want to help you put your best foot forward. Here are a few things we look for:
Location - Hybrid in our Pune Office
A few application tips
We want to help you put your best foot forward. Here are a few things we look for:
- Clear specific examples of your work and impact
- Relevant experience aligned with the roles focus
- A thoughtful response to any application questions
- A resume that highlights both what you did and why it mattered
If youre unsure whether your background is the perfect fit we still encourage you to apply. We value potential and growth just as much as experience.
Why this role exists
Why this role exists
As Snap continues to scale clients are investing heavily in modern data platforms built on Databricks. Were supporting increasingly complex programmes from enterprise migrations to capabilitywide Databricks enablement and were expanding our Databricks practice to meet this demand.
Were looking for a Senior Data Platform Consultant with strong Databricks experience to join our Delivery team. This role is ideal for someone who enjoys shaping platform strategy leading team delivery and enabling others to grow their technical skills.
Youll join a supportive collaborative team where everyones perspective is valued. If you enjoy helping clients unlock the value of their data through modern engineering and thoughtful leadership wed love to hear from you.
Youll also lead the design and delivery of complex Databricksbased analytics platform solutions while helping shape Snaps growing Databricks capability. Were looking for someone with strong Databricks expertise collaborative leadership skills and the ability to shape client outcomes.
Youll also lead the design and delivery of complex Databricksbased analytics platform solutions while helping shape Snaps growing Databricks capability. Were looking for someone with strong Databricks expertise collaborative leadership skills and the ability to shape client outcomes.
You might be a great fit if you have:
Youll lead the design and delivery of complex Databricks-based analytics
platform solutions while helping shape Snaps growing Databricks capability.
Your responsibilities will include:
Leading the architecture and delivery of large-scale Databricks Lakehouse
solutions
Driving Databricks migration and modernisation projects
Advising clients on Databricks best practices capability uplift and roadmap development
Guiding cross-functional delivery teams and supporting capability growth
across engineering and analytics
Establishing scalable patterns reusable assets and improvements to
Databricks delivery approaches
Coaching consultants and team leads on Databricks engineering
governance optimisation and platform design
Contributing to Snaps internal Databricks initiatives thought leadership
and go-to-market strategy
In your first 36 months success might look like:
Leading the delivery of a strategic Databricks Lakehouse initiative
Influencing a clients data platform roadmap using Databricks expertise and commercial insight
Supporting a team lead to strengthen Databricks capability and delivery
confidence
Helping shape Snaps Databricks frameworks accelerators or internal best
practices
platform solutions while helping shape Snaps growing Databricks capability.
Your responsibilities will include:
Leading the architecture and delivery of large-scale Databricks Lakehouse
solutions
Driving Databricks migration and modernisation projects
Advising clients on Databricks best practices capability uplift and roadmap development
Guiding cross-functional delivery teams and supporting capability growth
across engineering and analytics
Establishing scalable patterns reusable assets and improvements to
Databricks delivery approaches
Coaching consultants and team leads on Databricks engineering
governance optimisation and platform design
Contributing to Snaps internal Databricks initiatives thought leadership
and go-to-market strategy
In your first 36 months success might look like:
Leading the delivery of a strategic Databricks Lakehouse initiative
Influencing a clients data platform roadmap using Databricks expertise and commercial insight
Supporting a team lead to strengthen Databricks capability and delivery
confidence
Helping shape Snaps Databricks frameworks accelerators or internal best
practices
What youll need to succeed
Were looking for someone with 10 years of experience with strong Databricks expertise collaborative leadership skills and the ability to shape client outcomes.
You might be a great fit if you have:
Deep hands-on experience with Databricks including:
o Lakeflow Jobs and Lakeflow Declarative Pipelines
o Autoloader and similar spark structured streaming patterns
o PySpark and Spark SQL
o Implementing CI/CD pipelines using Databricks Asset Bundles
o Unity Catalog and data governance including attribute based access
controls
Strong knowledge of python and SQL
Experience deploying and managing Databricks workspaces with IaC tools
like Terraform
Strong experience in at least one cloud platform (Azure GCP AWS)
Experience with enterprise extraction tools like Fivetran HVR and Azure
Data Factory and their integration with a Databricks platform
Experience leading large complex data platform deliveries
Strong architectural thinking across ingestion transformation
modelling orchestration and governance
Clear communication skills and confidence working with a range of
stakeholders
A practical outcomes focused approach that connects technical delivery to business value
This role might not be the right fit if youre looking for:
A purely hands-on engineering role without strategic or client-facing
elements
You might be a great fit if you have:
Deep hands-on experience with Databricks including:
o Lakeflow Jobs and Lakeflow Declarative Pipelines
o Autoloader and similar spark structured streaming patterns
o PySpark and Spark SQL
o Implementing CI/CD pipelines using Databricks Asset Bundles
o Unity Catalog and data governance including attribute based access
controls
Strong knowledge of python and SQL
Experience deploying and managing Databricks workspaces with IaC tools
like Terraform
Strong experience in at least one cloud platform (Azure GCP AWS)
Experience with enterprise extraction tools like Fivetran HVR and Azure
Data Factory and their integration with a Databricks platform
Experience leading large complex data platform deliveries
Strong architectural thinking across ingestion transformation
modelling orchestration and governance
Clear communication skills and confidence working with a range of
stakeholders
A practical outcomes focused approach that connects technical delivery to business value
This role might not be the right fit if youre looking for:
A purely hands-on engineering role without strategic or client-facing
elements
Required Experience:
Senior IC
About Company
Transform your data into an AI-ready stack. Expert data engineering, platform modernisation & SAP integration with Snowflake, Databricks & AWS.
