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LPL Financial

VP, Business Intelligence Lead

Posted 2 Days Ago
Be an Early Applicant
In-Office
Austin, TX, USA
155K-259K Annually
Expert/Leader
In-Office
Austin, TX, USA
155K-259K Annually
Expert/Leader
Defines and executes enterprise data engineering and platform strategy. Designs scalable cloud data architectures supporting analytics, reporting, AI, and business intelligence; modernizes warehouses, lakes, and lakehouses; advances data mesh, governance, reliability, security, observability, ETL/ELT, automation, Infrastructure as Code, and CI/CD. Partners with architecture, security, infrastructure, product, and business stakeholders to deliver enterprise-scale data capabilities and apply AI-assisted engineering practices.
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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 Financial to shape your success while helping clients pursue their financial goals.


Job Overview:

We are seeking a senior technology professional to help define and execute the strategy for enterprise Data Engineering and Data Platform capabilities. This individual contributor role will drive the evolution of scalable, secure, and modern data platforms that support analytics, business intelligence, artificial intelligence, and data-driven decision making across the enterprise. The role is focused on Data Engineering, Data Platform Architecture, and Data Platform Modernization, with responsibility for advancing cloud-based data ecosystems, platform reliability, governance, and engineering excellence.


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, AI, 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 AI-enabled engineering practices and emerging technologies that enhance platform operations and development productivity.

What Are We Looking For?

We are looking for a technology professional who is motivated to pursue greatness, act with integrity, and is driven to help our clients succeed. The ideal candidate collaborates effectively across technical and business teams, seeks opportunities to win together, and contributes to a culture that helps create and share joy while delivering innovative, enterprise-scale data solutions.


Requirements:

  • 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.

Preferences:

  • 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.

 

Pay Range:

$155,300.00 - $258,800.00
 
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!
 

Company Overview:

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.


For further information about LPL, please visit www.lpl.com.


Join the LPL team and help us make a difference by turning life’s aspirations into financial realities. Please log in or create an account to apply to this position. Principals only. EOE.


Information on Interviews:

LPL will only communicate with a job applicant directly from an @lplfinancial.com email address and will never conduct an interview online or in a chatroom forum.  During an interview, LPL will not request any form of payment from the applicant, or information regarding an applicant’s bank or credit card.  Should you have any questions regarding the application process, please contact LPL’s Human Resources Solutions Center at (855) 575-6947.


EAC 5.19.26

LPL Financial Austin, Texas, USA Office

Austin, United States

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