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LPL Financial Holdings

Independent broker-dealer platform for financial advisors

Vice President – Business Intelligence Lead

Data EngineeringPosted on Nov 11
Full-timeIn-person

About the Job

Requirements

  • At least 12 years of technology experience with enterprise software, data engineering, or platform engineering environments.
  • Proven experience designing, building, and supporting enterprise data engineering and data platform solutions.
  • Experience designing and scaling modern data ecosystems supporting enterprise analytics and reporting capabilities.
  • Experience with enterprise data platforms, data warehouses, data lakes, lakehouse architectures, data mesh frameworks, ETL/ELT pipelines, and data governance programs.
  • Experience modernizing enterprise data architectures and supporting cloud transformation initiatives.

Responsibilities

  • Define and execute strategic initiatives that advance enterprise data platform and data engineering capabilities.
  • Design and implement scalable data platform architectures supporting analytics, reporting, artificial intelligence, and business intelligence workloads.
  • Lead modernization efforts across cloud data platforms, data warehouses, data lakes, and lakehouse environments.
  • Establish and advance data mesh capabilities to improve data accessibility, ownership, and scalability across business domains.
  • Partner with Enterprise Architecture, Security, Infrastructure, Product, and business stakeholders to align technology solutions with organizational priorities.
  • Improve platform scalability, reliability, governance, security, observability, and operational effectiveness.
  • Build and evolve enterprise ETL/ELT frameworks and data processing pipelines.
  • Drive automation, Infrastructure as Code, CI/CD practices, and engineering efficiency improvements.
  • Evaluate and implement artificial-intelligence-enabled engineering practices and emerging technologies that enhance platform operations and development productivity.

Desired Qualifications

  • Strong AWS experience and hands-on knowledge of Snowflake, dbt, Terraform, Python, PostgreSQL, CI/CD practices, and Infrastructure as Code (IaC).
  • Experience improving platform reliability, scalability, governance, and operational maturity.
  • Experience implementing data mesh and lakehouse strategies at enterprise scale.
  • Familiarity with AI-assisted engineering tools such as Cursor, GitHub Copilot, or similar technologies.
  • Experience applying AI capabilities within engineering organizations to improve delivery quality, operational efficiency, and engineering productivity.

About the Company

LPL Financial Holdings

Independent broker-dealer platform for financial advisors

LPL Financial runs the largest independent broker-dealer network in the United States, providing a platform of services and support to financial advisors and institutions. It helps advisors manage client wealth by offering technology, research, clearing and compliance services, and practice management programs. Advisors access a flexible, non-proprietary environment where they can tailor financial recommendations for clients, with revenue coming from fees for services, securities commissions, and asset-based fees. The company supports more than 28,000 financial advisors and oversees over a trillion dollars in advisory and brokerage assets, distinguishing itself through its breadth of back-office capabilities, scalable platform, and emphasis on independence for its advisors. Its goal is to enable independent financial advisors to grow their businesses and deliver personalized investment solutions to their clients.

Company size
10,001+
Company stage
IPO
Headquarters
San Diego, CA
Founded
1989

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