VP Data Lakehouse and Reporting Manager

LPL Financial•Charlotte, TX

2d•Hybrid

About The Position

At LPL Financial, our mission is to empower advisors so they can deliver exceptional service to their clients. Joining as VP, Data Lakehouse and Reporting Manager, you will provide both technical leadership and people management for teams responsible for our Enterprise Data Warehouse, Data Lakehouse, and Data Distribution functions. This role will drive modernization and strategic solutions across on-premises and cloud architectures, leading efforts to migrate and optimize data platforms using AWS cloud services, Snowflake, and lakehouse architectures. You will collaborate closely with architecture and development teams to shape the strategic evolution of our data foundations program, ensuring scalability, performance, and innovation.

Requirements

12+ years of related experience with 8+ years of experience in designing and implementing complex systems within a data warehouse and distribution functions
Demonstrated track record leading technical engineering and data teams, with proven success in managing complex projects and team performance
Experience with implementing AWS Data Lakehouse architectures, including design, implementation, and optimization of data pipelines leveraging AWS services (Glue, Lambda, EventBridge) and integration with Snowflake
5+ years of experience developing data solutions using Python and Spark frameworks (PySpark or Scala) for large-scale processing
5+ years of hands-on expertise with AWS Cloud services (Glue ETL, Lambda, EventBridge, Airflow) and modern data platforms including Snowflake and relational databases (SQL Server, Oracle), as well as Hadoop-based ecosystems
Strategic planning and prioritization with proven ability to execute complex initiatives effectively
Exceptional collaboration and communication skills, both technical and non-technical
Strong analytical and problem-solving capabilities with a focus on innovative solutions
Technical vision to drive best-in-class architectures and continuous improvement
Highly motivated and results-driven, committed to delivering strategic technical outcomes

Nice To Haves

At least 1 project implementation experience in Snowflake.
Bachelor’s degree in computer science, Engineering, or related field

Responsibilities

Lead and manage a team of professionals, including data engineers and QA specialists, providing strategic direction, coaching, and career development
Provide technical leadership, architecture and engineering to technology teams based on business objectives and strategic direction for our Enterprise Data Warehouse and Distribution Groups
Engage in the design, architecture and scope discussions to frame the LPL Data Warehousing and Distribution approach across the broader Data Foundations program
Collaborate with other development teams, enterprise architecture and operations to design, develop and maintain on-premises and cloud-based platforms integrating CI/CD capabilities.
Lead engineering and technical design discussions with the development teams and monitor all agile ceremonies
Serve as a technical subject matter expert to the broader development teams assisting with AWS services (Glue, Lambda, Event Bridge), Databases (Snowflake, Oracle, SQL Server), Big Data
Creates best practices for team members to follow to meet key objectives of the technology platform.