AVP, Data Services – Lead Data Engineer

About the role

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.

Responsibilities

• 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, counterparty, issuer, and legal entity domains.
• Develop and maintain cloud-native data pipelines utilizing AWS services such as Glue, Lambda, EventBridge, 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.

Requirements

• 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).

Core Competencies

• 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.

Preferred Qualifications

• 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, EventBridge, S3, Aurora/Postgres, RDS, and MSK/Kafka.
• Familiarity with CI/CD pipelines, Infrastructure-as-Code (Terraform), and DevOps practices.
• Strong SQL, data modeling, and data integration skills.
• Experience working within Agile delivery environments.
• Experience supporting data governance, metadata, data quality, and lineage initiatives.
• Financial services, wealth management, banking, brokerage, or regulatory data experience preferred.
• AWS certifications are a plus.