AVP, Data Services – Lead Data Engineer

Job Overview

LPL Financial is seeking an AVP, Data Services – Reference Data Engineering Lead to join our Data & Analytics organization and support the Reference Data Master team
. This role is responsible for designing, developing, and enhancing party reference data solutions that support critical business capabilities including client onboarding, KYC/AML processes, regulatory reporting, operational workflows, and data consumption across the enterprise. The ideal candidate brings strong hands-on experience in data engineering, reference data management, cloud-native platforms, and Agile delivery. This individual will partner closely with business stakeholders, architects, data governance teams, and engineering teams to deliver scalable, secure, and high-quality reference data services.

• Lead the design, development, and support of party reference data applications, APIs, and data services.
• Partner with business stakeholders, architects, and engineering teams to deliver reference data solutions supporting client, counter party, issuer, and legal entity domains.
• Develop and maintain cloud-native data pipelines utilizing AWS services such as Glue, Lambda, Event Bridge, S3, RDS, and Kafka/MSK.
• Support the modernization of legacy reference data platforms through migration to scalable cloud-based solutions.
• Integrate third-party reference data sources including Dun & Bradstreet, S&P Global, and other data providers to support enrichment, validation, and compliance requirements.
• Develop and support APIs and data services consumed by CRM, compliance, reporting, operations, and trading platforms.
• Implement data quality controls, validation rules, matching and deduplication processes, survivorship logic, and lineage tracking capabilities.
• Collaborate with data governance and architecture teams to support reference data standards, metadata management, and best practices.
• Participate in Agile planning, backlog refinement, estimation, sprint execution, and delivery activities using Jira.
• Provide technical leadership and mentorship to junior engineers and project team members.
• Support platform observability, performance tuning, resiliency, operational excellence, and incident resolution activities.

We want strong collaborators who can deliver a world‑class client experience. We are looking for individuals who thrive in a fast‑paced environment, are client‑focused, team‑oriented, and execute in ways that encourage innovation, accountability, and continuous improvement.

• Minimum of 7 years of experience in data engineering, software engineering, cloud engineering, or related technical disciplines.
• Minimum of 2 years of experience serving as a technical lead, project lead, or people leader.
• Experience developing and supporting cloud‑native applications, APIs, and data platforms.
• Experience developing event‑driven architectures, data pipelines, and distributed data services.
• Bachelor’s degree in Computer Science, Information Technology, Engineering, Mathematics, or a related technical field (or equivalent combination of education and relevant work experience).

• Strong hands‑on engineering and technical problem‑solving skills.
• Ability to collaborate effectively across business and technology teams.
• Experience delivering scalable, secure, and high‑quality data solutions.
• Understanding of party data, reference data, client data, or regulatory data environments.
• Strong communication, stakeholder engagement, and delivery execution skills.
• Ability to balance technical excellence with business priorities.

• Experience with Master Data Management (MDM) concepts including identity resolution, entity matching, survivorship rules, and golden record creation.
• Experience working with reference data, master data, customer data, client data, or legal entity data domains.
• Experience with AWS services including Glue, Lambda, Event Bridge, S3, Aurora/Postgres, RDS, and MSK/Kafka.
• Experience with Snowflake, Aurora/Postgres, SQL Server, or other cloud‑native database platforms.
• Familiarity with CI/CD pipelines, Infrastructure‑as‑Code (Terraform), and Dev Ops…