Technical Lead, Data Platform Engineer

Funding Circle UK

. Lead the technical direction of the Data Platform and turn target architecture into a sequenced engineering plan .

Posted 10/6/2026full-timeLondon • United KingdomSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in leading technical direction for Data Platforms, with a strong focus on Snowflake infrastructure, data security, and governance. Capable of mentoring engineers and translating complex architectural decisions into actionable engineering plans.

Highest-signal resume keywords

Snowflake Infrastructure ManagementAdvanced SQL and Python ProficiencyCI/CD and Infrastructure-as-Code SkillsData Security and Governance ExpertiseEnd-to-End Data Pipeline Design

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

SnowflakeSQLPythonDbt Model DevelopmentAirflow OrchestrationKafkaCI/CDInfrastructure-as-CodeData ContractsPySpark

Soft Skills

MentoringTechnical CommunicationDecision-MakingCollaboration

Tools & Technologies

ClaudeCopilotData Product PortalsLineage Tools

Industry Keywords

Data & AnalyticsRegulated Financial ServicesData SecurityGovernancePII Handling

Tech Stack

Tools & technologies

AirflowKafkaPySparkPythonSQL

About the role

Key responsibilities & impact

Lead the technical direction of the Data Platform and turn target architecture into a sequenced engineering plan
Own Snowflake infrastructure and RBAC, ingestion patterns, Airflow orchestration, CI/CD, observability, and cost controls
Make and record technical decisions and run the decision-document process
Make final technical calls when the team cannot agree and escalate cross-domain decisions to the architecture review board
Mentor engineers, spread knowledge, and establish a fast, deep review culture
Define standards and reusable patterns for domain teams, Data Scientists, Analysts, and AI Agents
Lead the platform side of the Athena-to-Snowflake migration, including source landing, reconciliation, cutover evidence, and legacy-platform decommissioning
Own operational excellence with the Engineering Manager, including on-call quality, alert quality, incident follow-ups, runbooks, and disaster recovery
Own platform security and governance controls with Security and Data Governance
Manage technical relationships with platform vendors, including support cases, escalations, and roadmap input
Explain technical trade-offs to non-technical stakeholders and data leadership
Set and evolve standards for safe and consistent AI-assisted engineering using tools such as Claude and Copilot
Work closely with the Principal Engineer to translate cross-domain architecture into a platform engineering plan and delivery

Requirements

What you’ll need

8+ years in Data & Analytics
Proven experience as a Senior/Tech Lead setting architectural direction for other engineers
Deep, hands-on knowledge of Snowflake, ideally including Iceberg/open table formats and RBAC
Advanced SQL, Python, and enterprise-grade dbt model development
Experience designing end-to-end data pipelines combining batch, file-based, and streaming ingestion (Kafka/CDC) managed with Airflow orchestration
Understanding of data security and governance, including PII handling and access control
Strong infrastructure-as-code and CI/CD skills
Track record of writing clear design documents, explaining technical risks to non-technical stakeholders, and making decisions under uncertainty
Ability to architect custom AI solutions and smart automated systems that are safe, maintainable, and aligned with the long-term mission
Ability to act as a technical bridge and mentor, training builders across the company from basic AI usage to sophisticated system creation
Skills in data contracts (ODCS/ODPS), data product portals, and lineage tools are desirable
Experience in a regulated financial services company is desirable
Experience leading a migration or large platform change is desirable
PySpark or other distributed processing experience is desirable

Benefits

Comp & perks

Benefit allowance tailored to individual and family needs
Private medical and dental insurance
Health assessments
Access to a digital GP
Life assurance
Share schemes
Financial coaching
Dedicated annual learning allowance
Electric car scheme
Cycle-to-work scheme
Season ticket loans
Award-winning parental leave policies
Support for fertility treatments and new additions to the family
Hybrid working with 2 days in the London office
Barista coffee and subsidised Just Eat lunches in the London office