The Senior Data Platform Consultant leads small teams in managing client engagements, providing technical leadership, mentoring junior consultants, designing data solutions, and optimizing performance for cloud data warehousing.
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…
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.
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:
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:
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
About
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!
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