About this role

Lead and manage the Party Referenced Data team, providing strategic direction, technical leadership, and mentorship while architecting and implementing cloud-native platforms using AWS services such as Glue, Lambda, EventBridge, S3, RDS, and MSK.
Drive modernization by migrating legacy systems to scalable cloud solutions, integrating third-party data providers like S&P Global’s Markit and Dun & Bradstreet for accurate KYC/AML data ingestion and enrichment.
Design and maintain robust data models for clients, counterparties, issuers, and legal entities, establishing governance frameworks for validation, deduplication, survivorship, and lineage tracking.
Develop APIs and data services for CRM, trading, compliance, and reporting platforms, ensuring observability, resilience, and compliance with privacy and cybersecurity standards.
Collaborate with business stakeholders to translate technical concepts into actionable solutions, champion continuous improvement through emerging technologies, and lead Agile delivery processes using Jira.

Minimum of 10 years of experience in data engineering, software development, or cloud infrastructure, with a strong focus on party or entity reference data.
Minimum of 5 years in a leadership role, managing technical teams and delivering enterprise-scale data solutions.
Experience with data mastering, identity resolution, golden record creation for party data and data mastering (MDM experience).
Experience in building and modernizing cloud-native platforms for party/entity data.

Vice President, Data Engineering – Master Data Management, Reference Data

Key skills