What you'll be doing

Lead the technical direction of the Data Platform and align the team with a clear engineering plan.
Maintain technical quality including Snowflake infrastructure, RBAC, ingestion, orchestration, CI/CD, observability, and cost controls.
Make and document technical decisions and run the decision-document process.
Grow and mentor the engineering team and promote knowledge sharing and a strong review culture.
Facilitate platform usability for domain teams, Data Scientists, Analysts, and AI Agents by defining standards and reusable patterns.
Lead the migration from Athena to Snowflake, including data reconciliation and legacy system decommissioning.
Co-own operational excellence activities such as on-call quality, alerts, incident follow-ups, runbooks, and disaster recovery.
Manage security and governance controls collaboratively with Security and Data Governance teams.
Manage technical relationships with platform vendors, including support and roadmap discussions.
Communicate technical trade-offs clearly to non-technical stakeholders and data leadership.
Set and evolve best practices for AI-assisted engineering tools within the team.
Collaborate closely with the Principal Engineer to implement cross-domain architecture as a platform engineering plan.

Requirements

8+ years in Data & Analytics with experience as a Senior or Tech Lead setting architectural direction.
Deep hands-on knowledge of Snowflake including Iceberg/open table formats and RBAC.
Advanced skills in SQL, Python, and dbt for enterprise-grade model development.
Experience designing end-to-end data pipelines using batch, file-based, and streaming ingestion (Kafka/CDC) with Airflow orchestration.
Strong understanding of data security and governance, including PII handling and access control.
Proficient in infrastructure-as-code and CI/CD practices.
Proven ability to write clear design documents, explain technical risks to non-technical audiences, and make decisions under uncertainty.
Ability to architect safe, maintainable custom AI solutions and smart automated systems aligned with long-term goals.
Experience mentoring and training others to advance their AI system creation skills.

Experience with data contracts (ODCS/ODPS), data product portals, and lineage tools.
Background in a regulated financial services environment.
Experience leading migrations or large platform changes.
Experience with PySpark or other distributed processing frameworks.

Flexible hybrid working with 2 days per week in the London office.
Competitive salary plus benefits.
Benefit allowance tailored to your life and family needs.
Private medical and dental coverage, health assessments, and digital GP access.
Life assurance, share schemes, and financial coaching.
Dedicated annual learning allowance for professional development.
Electric car and cycle-to-work schemes, plus season ticket loans.
Award-winning parental leave policies and support for life moments including fertility treatments and family additions.
Barista coffee and subsidised Just Eat lunches in the office.
Recognised as one of The Sunday Times Best Companies to Work For 2026.