Senior Data Platform Consultant (Snowflake + Matillion)

You'll play a key role in designing and running production-grade data pipelines that connect operational systems to the enterprise data platform, supporting both regulatory initiatives and day-to-day business operations.

Your responsibilities will include: Owning end-to-end pipelines across ingest transform load application integration, with hands-on orchestration and production support. Taking ownership of key platform integrations, including the existing Zendesk API integration, ensuring data flows reliably between systems and stepping in confidently when issues arise. Querying and operating the cloud data platform confidently (workload sizing, cost/concurrency trade-offs, and recovery/rollback using platform features). Working closely with PMO and stakeholders to prioritise, communicate clearly, and finish work, especially when priorities change. Contributing to Agile delivery (two-week sprints, ticketing, demos/retros) and raising the bar on delivery discipline and transparency.

• Providing day-to-day technical leadership of a workstream and coaching more junior engineers when needed.

In your first 3-6 months, success might look like: Embedding quickly with PMO and technical leads; trusted as a go-to person for your workstream. Ensuring pipelines are live and stable, with clear run-books, monitoring, and a pragmatic approach to rollbacks and incident handling.

• A smooth transition from project delivery into operational support, with visible progress on a realistic, prioritised backlog.

Do you have experience in SQL?, We're looking for someone who brings a mix of deep hands-on cloud data engineering, strong SQL, and consulting-grade communication in complex environments., Strong, hands-on ETL/ELT experience using Matillion, including building and orchestrating production-grade pipelines end-to-end (ingestion, transformation, loading, and monitoring). Practical experience working with Snowflake as a cloud data platform, with the ability to confidently query data, understand warehouse sizing and cost/performance trade-offs, and use platform features to support reliability and recovery. Very strong SQL skills, with the ability to reason through complex data logic, performance considerations, and edge cases. Experience working in enterprise environments, where governance, change control, and reliability matter; exposure to regulated industries (such as financial services) is advantageous. A consulting mindset: you communicate proactively, manage expectations well, prioritise effectively, and are comfortable pushing back constructively when required.

• Experience integrating data platforms with operational or downstream systems using APIs (nice to have).

This role might not be the right fit if you're looking for: Narrow, single-tool transformation work without orchestration or production responsibility. A static backlog with rarely-changing priorities.

• A role without stakeholder interaction or the need to push back and negotiate scope.

This role exists because the programme it supports has reached a point where senior ownership and long-term thinking are essential. We're investing in experienced data engineers who want to be close to impactful work, influence how platforms evolve, and play a meaningful role as systems move from delivery into sustained operation. It's an opportunity to step into a role where your decisions matter, your experience shapes outcomes, and you're trusted to lead through complexity, not just execute tasks. More broadly, it reflects our commitment to building a strong senior team at Snap that can continue to support cutting-edge client programmes over time, share knowledge across engagements, and help raise delivery standards as our work and business continues to expand., 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!     If you require alternative methods of application or screening, you must approach the employer directly to request this as Indeed is not responsible for the employer's application process.