Job Description

Description

Please note:

We use banding codes (e.g., C1, C2, C3, S1, S2...) 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 Snap continues to scale, we're taking on more complex and strategic data projects across industries. From greenfield data warehouse builds to enterprise migrations, our clients rely on us to design and deliver robust, scalable solutions.

We're looking for a Senior Databricks Data Platform Consultant (S1) who can lead the design and delivery of these solutions, guide junior team members, and ensure the highest quality outcomes. This role is key to helping our clients unlock the full value of their data through thoughtful architecture, hands-on delivery, and strategic insight.

You'll be joining a team that values curiosity, collaboration, and commercial awareness. If you enjoy leading projects, mentoring others, and working closely with clients to solve real business problems, this could be a great fit.

What you'll be doing...

As a Senior Databricks Data Platform Consultant (S1) you'll play a central role in turning complex data into business value. Working closely with client stakeholders, PMs, and engineers, you'll lead discovery, design, and initial build for a cutting-edge data platform.

Your responsibilities will include:

Leading discovery workshops to define data integration requirements Designing high-level architecture for ingestion and modelling in Databricks Building pipelines for IoT and telemetry systems (OCM, CEM) Delivering UX-focused dashboards for client demos and MVP showcase Collaborating with engineers and guiding technical delivery

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

Completing discovery and high-level design for the pilot Bringing the MVP live for client demo and conference showcase Establishing scalable foundations for full production rollout

What you'll need to succeed...

We're looking for someone who brings a mix of technical depth and consultative leadership.

You might be a great fit if you have:

Strong hands-on experience with Databricks (ingestion, modelling, orchestration) Exposure to streaming/real-time data and IoT integration Ability to own a workstream end-to-end and thrive in ambiguity Excellent communication skills for client-facing workshops

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

A purely back-office engineering role with minimal client interaction Highly structured environments with little autonomy

About Snap Analytics

We're a high-growth data analytics consultancy on a mission to help enterprise businesses unlock the full potential of their data. With offices in the UK, India, and South Africa, we specialise in cutting-edge cloud analytics solutions, transforming complex data challenges into actionable business insights.



We partner with some of the biggest brands worldwide to modernise their data platforms, enabling smarter decision-making through Snowflake, Databricks, Matillion, and other cloud technologies. Our approach is customer-first, innovation-driven, and results-focused, delivering impactful solutions with speed and precision.



At Snap, we're not just consultants--we're problem-solvers, engineers, and strategists who thrive on tackling complex data challenges. Our culture is built on collaboration, continuous learning, and pushing boundaries, ensuring our people grow just as fast as our business.



Join us and be part of a team that's shaping the future of data analytics!