Snap Analytics

Senior Data Platform Consultant (S1)

Snap Analytics  •  Pune, IN (Onsite)  •  1 month ago
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Job Description

Senior Data Platform Consultant (S1)

Department: Data Platforms

Employment Type: Full Time

Location: Pune, India

Reporting To: Deepam Biswas


Please note: We use banding codes (e.g., S1, S2, S3) to reflect different levels of experience and competency within each job title. These bands range from 1 to 3, with higher numbers indicating more senior roles. While the job title remains the same, the responsibilities and expectations vary by band, so we encourage candidates to read the role description carefully and apply for the banding that best aligns with their experience and career stage.

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 role’s focus
  • A thoughtful response to any application questions
  • A resume that highlights both what you did and why it mattered

If you’re 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…

As we continue to scale our Managed Services & Support division across long-term client engagements, we’re looking for Senior Data Platform Consultants who are ready to take the next step in their leadership journey. This role is ideal for those who have led small teams, built strong client relationships, and are eager to grow their strategic and mentoring capabilities.

You’ll play a key role in our support model, which includes proactive optimisation, enhancements, and client engagement. You’ll be hands-on with delivery while guiding junior consultants and contributing to team success.

What you'll be doing...

You’ll lead service delivery efforts for smaller teams or projects, mentor junior consultants, and engage directly with clients to ensure their needs are met.

Your responsibilities will include:

  • Leading client engagements within a support-focused environment, ensuring proactive service delivery and adherence to SLAs.
  • Providing technical leadership across supported applications, balancing hands-on issue resolution with strategic oversight.
  • Mentoring and guiding junior consultants, helping them navigate support processes and troubleshoot effectively.
  • Designing and optimising data solutions (e.g., pipelines, source systems) using tools such as Snowflake and Matillion, with a focus on maintaining and enhancing live environments.
  • Driving documentation and knowledge sharing, ensuring continuity and resilience across the support team.
  • Supporting long-term client relationships, contributing to solution stability, performance improvements, and ongoing enhancements post-deployment.

In your first 3–6 months, success might look like:

  • Confidently managing client relationships and expectations
  • Driving proactive optimisation and performance improvements
  • Establishing documentation and redundancy plans to ensure seamless support

What you'll need to succeed...

We’re looking for someone who brings leadership potential, technical depth, and a collaborative spirit.

You might be a great fit if you have:

  • 7+ years of professional experience in data engineering for analytics
  • Experience in service delivery and client engagement
  • Strong knowledge of cloud data warehousing (preferably in Snowflake)
  • Hands-on experience with ETL processes and tools (preferably Matillion)
  • Familiarity with ticketing tools like ServiceNow, Jira, and an ITIL certification (preferred)
  • Understanding of data modelling (Kimball methodology) and warehousing concepts
  • A proactive, mentoring mindset and dedication to team success

This role might not be the right fit if you’re:

  • Not proactive or collaborative in a fast-paced, client-facing environment
Snap Analytics

About Snap Analytics

We help ambitious organisations unlock the full value of their data by designing and building the ultimate data stack. Trusted by Fortune 500 and FTSE 250 companies across sectors, including CPG, Manufacturing, Financial Services and Energy, we simplify complex environments and connect data, tech, and people to drive innovation. Our experts in SaaS and SAP guide you from strategy to activation, enabling high-impact use cases in Analytics, Machine Learning, AI, and Generative AI - fueling smarter decisions and business growth.

What we can help you with:

Data Platform Strategy, AI Readiness, AI Strategy, Data Governance, SAP Data Strategy, Cloud Migration, Data Integration (ETL), Data Engineering, Data Architecture, Machine Learning (ML), Data Ops & Automation, Generative AI, Data Visualisation, Analytics

Our Partners Include:

AWS, Snowflake, Matillion, Databricks, Sigma, Fivetran, Pyramid Analytics, DBT

Industry
Unknown
Company Size
51-200 employees
Headquarters
Bristol, GB
Year Founded
2019
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