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

LPL Financial is seeking a highly motivated and experienced Data Warehouse Technical Lead to drive the design, development, modernization, and support of enterprise data warehousing solutions. This role will play a critical part in advancing our cloud-based data platform and analytics capabilities that support Finance, Enterprise Reporting, and Business Intelligence initiatives across the organization.

The ideal candidate is a hands-on data engineering leader with deep expertise in Snowflake, AWS, DBT, SQL, and enterprise data warehousing. This individual will lead technical solution design, mentor team members, and partner closely with business stakeholders while remaining actively involved in data engineering, performance optimization, and production support activities.

Responsibilities:

Lead the design, development, enhancement, and support of enterprise data warehouse solutions using Snowflake and AWS cloud technologies.
Build and maintain scalable ETL/ELT pipelines, data integrations, and transformation frameworks supporting Finance, Reporting, and Analytics use cases.
Develop, optimize, troubleshoot, and review complex SQL queries, data models, and data warehouse structures.
Drive technical design and implementation of cloud-native data solutions using AWS services including S3, Glue, Lambda, MWAA, and Redshift.
Partner with business stakeholders, analysts, architects, and engineering teams to translate business requirements into scalable and performant data solutions.
Establish and promote best practices for data quality, governance, security, monitoring, and operational excellence.
Support data warehouse modernization, cloud migration, and enterprise data platform initiatives.
Mentor data engineers and technical analysts while providing technical leadership and guidance across projects.
Oversee solution deployment, testing, production support, and continuous improvement activities.
Work in a hybrid work environment in LPL's Austin or Fort Mill offices, effectively partnering with business and technology teams across multiple locations.

What are we looking for?

We’re looking for strong collaborators who deliver exceptional client experiences and thrive in fast-paced, team-oriented environments. Our ideal candidates pursue greatness, act with integrity, and are driven to help our clients succeed. We value those who embrace creativity, continuous improvement, and contribute to a culture where we win together and create and share joy in our work.

Requirements:

Bachelor's degree in Computer Science, Information Systems, Engineering, or related field; Master's degree preferred.
Minimum of 10 years of experience in Data Engineering, Data Warehousing, Analytics Engineering, or Data Architecture, or related disciplines.
Minimum of 5 years of hands-on experience developing and supporting enterprise data warehouse solutions using Snowflake and cloud-based data platforms.
Advanced SQL development experience, including query optimization, performance tuning, troubleshooting, and data validation.
Experience designing and implementing scalable ETL/ELT pipelines using AWS cloud technologies and modern data engineering practices.

Core Competencies:

Data Warehousing & Architecture

Advanced Snowflake development and administration experience.
Expertise in Enterprise Data Warehouses (EDW), Operational Data Stores (ODS), Data Marts, and dimensional data modeling.
Strong understanding of data warehouse architecture, performance optimization, and scalability best practices.
Experience supporting Finance, Enterprise Reporting, Analytics, and Business Intelligence workloads.

Cloud & Data Engineering

Strong AWS data engineering experience including S3, Glue, MWAA, Lambda, and Redshift.
Hands-on experience building and supporting cloud-native ETL/ELT pipelines.
Experience with DBT, Python, and modern data transformation frameworks.
Expertise in data integration, orchestration, automation, and monitoring.

Data Governance & Quality

Strong understanding of data governance, data quality, metadata management, and data security principles.
Experience implementing data validation, reconciliation, and operational controls.
Ability to ensure accuracy, reliability, and integrity across enterprise data platforms.

Technical Leadership

Experience serving as a technical lead, senior engineer, or subject matter expert on enterprise data warehouse initiatives.
Ability to lead technical design discussions and provide mentorship to data engineers and technical analysts.
Strong communication, stakeholder management, and cross-functional collaboration skills.
Experience working within Agile delivery environments.

Preferences

Financial Services industry experience preferred.
Experience with PostgreSQL, Oracle, SQL Server, and other enterprise database technologies.
Experience with Informatica PowerCenter and Apache Airflow (MWAA).
Experience with Terraform, GitHub, CI/CD pipelines, and DevOps automation practices.
AWS Certification and/or Snowflake SnowPro Certification preferred.
Experience supporting cloud migration, platform modernization, or M&A integration initiatives.
Experience working within large-scale enterprise reporting and analytics environments.

Pay Range:

$115,600.00 - $192,600.00

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

Lead Data Warehouse Technical Analyst

Job description