AVP, Data Services – Lead Data Engineer

Job summary

WHERE AMBITION MEETS INNOVATION Build a career that matches all your initiative with an impressive dose of innovation. From cutting-edge resources and a collaborative environment to the freedom to make an impact and more, you’ll find the ingredients you need at LPL*** to shape your success while helping clients pursue their financial goals.

Benefits

Qualifications

• The ideal candidate brings strong hands-on experience in data engineering, reference data management, cloud-native platforms, and Agile delivery.
• 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.
• What Are We Looking For?
• 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.

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

Skills

Degrees

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