Principal Data Engineer

London Source: WhatJobs

See advert for pay

Overview

As Principal Data Engineer, you drive Funding Circle’s Data Platform strategy on Snowflake and AWS, shaping the future-state architecture and multi-phased migrations. You lead design and delivery of scalable data warehouse, lakehouse, and analytics capabilities, partnering with cross-functional teams to elevate data quality, governance, and product-driven data services. You’ll build a data platform that enables rapid, reliable insights for a mission-driven fintech. This role combines technical leadership with hands-on delivery and mentorship.

Pay / Benefits

flexible benefit allowance
private medical and dental
life assurance
share schemes
annual learning allowance
digital GP

Responsibilities

Own the Data Platform strategy and multi-phased migration roadmap to the Future State Data Platform on Snowflake and AWS
Lead architecture, design and development of cloud data warehouse, lakehouse, streaming and analytics solutions
Define ingestion, transformation, orchestration patterns and data product boundaries between Product Engineering and Data Engineering
Identify and mitigate architectural bottlenecks, tech debt and control weaknesses across the data ecosystem
Lead Data as a Product Community of Practice including standards for metadata, data contracts, schema design, data product versioning, DQ, SLA/SLO, and semantic layer conventions
Champion data quality, lineage, observability and governance with code-driven checks and production monitoring
Contribute to Data Architecture Review Board decisions ensuring engineering-viable, consistent proposals with proper recording
Mentor and train builders across the company to create sophisticated AI-enabled data solutions
Advise on migration architecture, transition states, historical data migration and legacy decommissioning

Key requirements

10+ years in Data & Analytics, in Staff/Principal roles within Data Engineering, Data Architecture or Data Platform
Extensive hands-on experience building and operating cloud data platforms on Snowflake and AWS
Proven track record leading large-scale migrations from legacy systems
Experience designing data products across source-aligned, aggregate and consumer-aligned patterns
Proficiency with Snowflake, Apache Iceberg, Amazon Redshift and S3
Hands-on with dbt and Apache Airflow for data transformations and orchestration
Infrastructure as Code with Terraform and GitHub Actions
Data governance, metadata, lineage, data contracts, and semantic layer concepts
Experience leveraging AI tooling to accelerate data workflows and migrations
Cross-functional partnership with Product, Engineering, Data Science, and Governance teams
Mentor/lead communities of practice and promote standards adoption
Ability to architect custom AI solutions aligned with long-term mission