Job Description

Senior Data Platform Consultant

Department: Data Platforms

Employment Type: Full Time

Location: Pune, India

Reporting To: Deepam Biswas

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 Snap continues to scale, we’re delivering increasingly complex and strategic data projects across industries. From greenfield data warehouse builds to enterprise migrations and capability‑wide initiatives, our clients rely on us to design and implement robust, scalable data analytics solutions that drive real business outcomes.

We’re looking for Senior Data Platform Consultants to join our Delivery team. This role is suitable for experienced consultants at varying seniorities who enjoy hands‑on delivery, leading others, and working closely with clients to solve meaningful problems.

You’ll be joining a team that values curiosity, collaboration, and commercial awareness. Whether you’re growing into senior leadership or already operating at a strategic level, this role offers the opportunity to make a tangible impact on client outcomes while shaping how we deliver at Snap

What you'll be doing...

You’ll lead the design and delivery of data solutions across a range of client projects, balancing hands‑on technical work with leadership, stakeholder engagement, and delivery ownership.

Your responsibilities will include:

• Leading the delivery of data solutions, including data warehouse builds, migrations, and platform modernisation
  
  
• Managing delivery across projects or workstreams, ensuring high‑quality outcomes for clients
  
  
• Building strong relationships with client stakeholders and aligning technical solutions with business goals
  
  
• Anticipating delivery risks, introducing mitigations, and balancing the needs of clients, teams, and timelines
  
  
• Coaching and mentoring consultants, providing feedback and supporting development through hands‑on guidance
  
  
• Contributing to internal initiatives and helping shape delivery best practices across the team

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

• Leading the delivery of a data warehouse migration or greenfield build
  
  
• Owning delivery outcomes on one or more client engagements
  
  
• Receiving strong client feedback on your leadership, communication, and technical judgement
  
  
• Supporting the development of junior consultants or emerging team leads

What you'll need to succeed...

We’re looking for someone with strong technical foundations, delivery ownership, and a commercial mindset.

You’re a great fit if you have:

• Significant professional experience in cloud data engineering for analytics
  
  
• Strong experience in cloud data warehousing (ideally Snowflake or Databricks), SQL, and cloud ETL tools such as dbt, Matillion, Fivetran, etc.
  
  
• Experience designing, building and implementing dimensional data models and leading technical delivery
  
  
• Strong communication skills and confidence working directly with client stakeholders
  
  
• A commercial mindset and ability to align data work with business goals.

It’s a bonus if you have:

• Experience leading large‑scale or multi‑team delivery engagements
  
  
• Confidence influencing client strategy and facilitating workshops or roadmap discussions
  
  
• Experience mentoring senior consultants or team leads
  
  
• Involvement in shaping delivery frameworks, internal capabilities, or go‑to‑market initiatives
  
  
• Comfort operating at a strategic level across multiple clients orprogrammes of work

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

• A purely hands‑on technical role without leadership or client‑facing responsibilities
  
  
• A role focused on data science or theoretical analytics