Technical Lead, Data Platform Engineer
Funding Circle12 hours ago
London, United KingdomStaff+
Responsibilities
- Lead the technical direction of the Data Platform and translate target architecture into a sequenced engineering plan.
- Own Snowflake infrastructure and RBAC, ingestion patterns, Airflow orchestration, observability, cost controls, and technical quality.
- Make and document technical decisions, resolve team disagreements, and escalate cross-domain decisions to the architecture review board.
- Mentor engineers, grow team capability, and establish a fast and rigorous review culture.
- Define standards and reusable patterns that enable domain teams, Data Scientists, Analysts, and AI Agents to build on the platform.
- Lead the platform side of the Athena-to-Snowflake migration, including source landing, reconciliation, cutover evidence, and legacy-platform decommissioning.
- Partner with the Engineering Manager on on-call quality, alerts, incident follow-ups, runbooks, and disaster recovery.
- Own platform security and governance controls and manage technical relationships with platform vendors.
- Set standards for safe and consistent AI-assisted engineering using tools such as Claude and Copilot.
Requirements
- 8+ years of experience in Data & Analytics, including proven experience as a Senior or Technical Lead setting architectural direction for engineers.
- Deep hands-on Snowflake expertise, ideally including Iceberg or open table formats and RBAC.
- Advanced SQL and Python skills and enterprise-grade dbt model development experience.
- Experience designing end-to-end batch, file-based, and streaming data pipelines using Kafka or CDC and Airflow orchestration.
- Understanding of data security and governance, including PII handling and access control.
- Strong infrastructure-as-code and CI/CD skills.
- Ability to write clear design documents, explain technical risks to non-technical stakeholders, and make decisions under uncertainty.
- Ability to architect safe, maintainable custom AI solutions and automated systems.
- Ability to mentor and train builders across the company in sophisticated AI system creation.
- Preferred experience with data contracts such as ODCS or ODPS, data product portals, lineage tools, regulated financial services, large platform migrations, and PySpark or other distributed processing.
Benefits
- London hybrid working with two days in the office each week.
- Competitive salary and benefits.
- Flexible benefit allowance tailored to individual and family needs.
- Private medical and dental coverage, health assessments, and access to a digital GP.
- Life assurance, share schemes, and financial coaching.
- Dedicated annual learning allowance.
- Electric car and cycle-to-work schemes and season ticket loans.
- Award-winning parental leave policies and support for major life moments.
- Barista coffee and subsidised Just Eat lunches in the London office.
Tech Stack
Categories
Data Engineering
About Funding Circle
Funding Circle builds an online lending platform that provides term loans and lines of credit to small and medium-sized businesses, using data-driven underwriting. It generates interest and fee income and also distributes finance through partners via embedded lending. Founded in 2010 and headquartered in London, the company is listed on the London Stock Exchange and primarily serves the UK market.