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About the Role

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, effectively partnering with business and technology teams across multiple locations.

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.
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.
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.
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.
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.
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.

Skills

Snowflake
AWS
DBT
SQL
Data Warehousing
ETL/ELT
Data Engineering
Cloud Data Platform
Analytics
Business Intelligence
S3
Glue
Lambda
MWAA
Redshift
Python
Data Governance
Data Quality
Metadata Management
Data Security
PostgreSQL
Oracle
SQL Server
Informatica PowerCenter
Apache Airflow
Terraform
GitHub
CI/CD
DevOps

Location

Austin
Fort Mill

Work Type

Hybrid

Experience Level

10+ years in Data Engineering, Data Warehousing, Analytics Engineering, or Data Architecture
5+ years hands-on experience with Snowflake and cloud-based data platforms

Education Level

Bachelor's degree in Computer Science, Information Systems, Engineering, or related field
Master's degree preferred

Salary/Compensations

$115,600.00 - $192,600.00

Benefits

401K matching
Health benefits
Employee stock options
Paid time off
Volunteer time off

About the Company

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, 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.
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.

Equal Opportunity

Principals only. EOE.