AVP, Data Services - Lead Data Engineer

• Lead the design, development, and support of party reference data applications and services.
• Partner with architects and business stakeholders to implement data solutions supporting client, counterparty, issuer, and legal entity data domains.
• Build and maintain cloud-native data pipelines utilizing AWS services including Glue, Lambda, EventBridge, S3, RDS, and Kafka/MSK.
• Support modernization initiatives by migrating legacy reference data platforms to scalable cloud-based architectures.
• Integrate and manage third-party reference data providers such as Dun & Bradstreet, S&P Global, and other enrichment sources.
• Develop and maintain APIs and data services supporting compliance, CRM, operations, reporting, and trading systems.
• Implement data quality controls, validation frameworks, deduplication processes, and lineage tracking capabilities.
• Collaborate with data governance and architecture teams to support reference data standards and best practices.
• Participate in Agile ceremonies, backlog refinement, estimation, and technical delivery planning using Jira.
• Mentor junior engineers and provide technical guidance across project teams.
• Support platform monitoring, resiliency, performance tuning, observability, and operational excellence initiatives.

What are we looking for?

We want strong collaborators who can deliver a world-class client experience. We are looking for people who thrive in a fast-paced environment, are client-focused, team oriented, and are able to execute in a way that encourages creativity and continuous improvement.

• Minimum of 7 years of experience in data engineering, software development, cloud engineering, or related fields.
• Minimum of 2 years of experience leading projects, mentoring engineers, or serving as a technical lead.
• Experience working with reference data, master data, customer data, legal entity data, or related domains.
• Experience building and supporting cloud-native applications and data platforms.
• Strong SQL and data modeling skills.
• Experience developing APIs, data pipelines, and event-driven architectures.
• Experience working in Agile delivery environments.

Core Competencies

• Strong technical problem-solving skills.
• Ability to partner effectively with business and technology stakeholders.
• Understanding of party data, client data, KYC/AML, or regulatory data environments.
• Experience delivering scalable and high-quality data solutions.
• Strong communication and collaboration skills.
• Ability to balance technical excellence with business priorities.

Preferred Qualifications

• Experience with AWS services including Glue, Lambda, EventBridge, S3, RDS, and MSK/Kafka.
• Experience with Snowflake, Aurora/Postgres, SQL Server, or other relational databases.
• Familiarity with MDM concepts such as identity resolution, survivorship rules, and golden record creation.
• Experience with CI/CD pipelines, Terraform, and DevOps practices.
• Experience working with data quality, governance, and metadata frameworks.
• Financial services, wealth management, banking, or regulatory data experience preferred.
• AWS certifications are a plus

Pulled from the full job description

• Health insurance
• 401(k) matching
• Paid time off
• Stock options
• Volunteer time off, Actual base salary varies based on factors, including but not limited to, relevant skill, prior experience, education, base salary of internal peers, demonstrated performance, and geographic location. Additionally, LPL Total Rewards package is highly competitive, designed to support your success at work, at home, and at play - such as 401K matching, health benefits, employee stock options, paid time off, volunteer time off, and more. Your recruiter will be happy to discuss all that LPL has to offer!

LPL Financial is seeking a AVP, Data Services - Lead Data Engineer to support our Reference Data Master team within the Data & Analytics organization. This role is ideal for a seasoned technical leader with deep expertise in party reference data management, cloud-native architectures, and enterprise data engineering. You will be responsible for driving the strategy, design, and delivery of scalable, secure, and high-quality party data solutions that support critical business functions including client onboarding, KYC/AML, regulatory reporting, and operational efficiency., LPL Financial Holdings Inc. (Nasdaq: LPLA) is among the fastest growing wealth management firms in the U.S. As a leader in the financial advisor-mediated marketplace(6) , LPL supports over 32,000 financial advisors and the wealth management practices of approximately 1,100 financial institutions, servicing and custodying approximately $2.3 trillion in brokerage and advisory assets on behalf of approximately 8 million Americans. The firm provides a wide range of advisor affiliation models, investment solutions, fintech tools and practice management services, ensuring that advisors and institutions have the flexibility to choose the business model, services, and technology resources they need to run thriving businesses. For further information about LPL, please visit www.lpl.com. At LPL, independence means that advisors and institution leaders have the freedom they deserve to choose the business model, services, and technology resources that allow them to run a thriving business. They have the flexibility to do business their way. And they have the freedom to manage their client relationships, because they know their clients best. Simply put, we take care of our advisors and institutions, so they can take care of their clients.