Lead Data Engineer
Posted
Overview
As Manager, Data Engineering Lead, you will steer the end-to-end data engineering and analytics platform for SwapClear and Listed Rates, aligning with a cloud-native Snowflake architecture. You’ll drive the migration from legacy systems, ensure availability and governance, and partner with architecture and governance groups to deliver measurable reporting capabilities. This role combines hands-on engineering with leadership to scale a systemically important data platform. You’ll shape data-driven outcomes for members, clients, and internal stakeholders.
Pay / Benefits- healthcare
- retirement planning
- paid volunteering days
- wellbeing initiatives
- Own the end-to-end data solutions for reporting and analytics across SwapClear and Listed Rates
- Lead safe migration from legacy Oracle/Informatica to cloud architecture
- Oversee multi-year delivery and decommissioning of legacy systems
- Define and evolve the Strategic Cloud data platform for SwapClear and Listed Rates
- Ensure platform availability, performance, resilience, and security
- Support delivery planning with Product Owners and Delivery Leads
- Partner with Group Architecture, Data Governance, and Product/business partners
- Collaborate with Quality engineering to uphold SDLC quality and cloud-native practices
- Build strong relationships with internal/external partners to align on quality goals
- 15+ years in software engineering, with 5+ years in a technical leadership role
- Experience leading enterprise-scale Snowflake data platform implementations
- ELT data architectures using dbt or similar
- Cloud data lake and data warehouse solutions
- SQL, PL/SQL and Python for data-centric solutions
- Data warehouse modelling and immutable/incremental/versioned data architectures
- Data governance, lineage and control frameworks
- Informatica PowerCenter or similar
- Quality-first approach and seniority to influence architecture and governance
- AI experience in data engineering/migrations use cases
- Detail-oriented with strong problem-solving and deep-dive capability
- leadership and credibility to influence governance bodies
- data-driven decision making
- strong collaboration across cross-functional teams
- Snowflake (or similar) data platform
- ELT architectures and dbt
- cloud data lake/warehouse