
Vice President, Data Engineering – Master Data Management, Reference Data
LPL Financial
full-time
Posted on:
Location Type: Office
Location: California • New York • United States
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Salary
💰 $132,445 - $220,742 per year
Job Level
Tech Stack
About the 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.
Requirements
- 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.
Benefits
- 401K matching
- health benefits
- employee stock options
- paid time off
- volunteer time off
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
cloud-native platformsdata engineeringsoftware developmentdata masteringidentity resolutionAPI developmentdata modelingKYCAMLAgile delivery
Soft Skills
leadershipmentorshipstrategic directioncollaborationcontinuous improvementcommunication