VP, Principal Data Engineering - Data Services

Job Overview

Join LPL Financial as a Vice President, Data Services - Principal Data Engineer. This role leads the Reference Data Master team within the Data & Analytics organization.

Responsibilities

• 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 like 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.

Core Competencies

• Strategic thinking with a strong technical foundation.
• Proven ability to lead and inspire high-performing teams.
• Deep understanding of party data ecosystems and regulatory requirements (e.g., KYC, AML, FATCA).
• Passion for building scalable, secure, and high-quality data platforms.
• Strong executive presence and ability to communicate with senior leadership.

Preferences

• Expertise in AWS services, including Glue, Lambda, EventBridge, S3, RDS (Aurora/Postgres), and MSK/Kinesis.
• Proficiency with relational and cloud-native databases, such as Snowflake, Aurora, Postgres, and MSSQL.
• Familiarity with CI/CD pipelines, infrastructure-as-code (e.g., Terraform), and DevOps practices.
• Excellent communication and stakeholder management skills, with the ability to influence across technical and business teams.
• AWS certifications (e.g., Solutions Architect, DevOps Engineer) are a plus.