VPII, Data Engineering Manager

LPL Financial; New York (NY); On-site; USD 169,000 - 282,000; Full time

Benefits offered by this job

401K matching

Health benefits

Employee stock options

Paid time off

Job summary

LPL Financial is seeking a VPII, Data Engineering Manager to lead a team focused on enterprise data orchestration, observability, and modernization of legacy workloads onto the Data Foundations Platform.

The role requires deep data engineering expertise, strong AWS and orchestration experience, and a proven track record of building capable teams with increasing autonomy.

Qualifications

• 10+ years in data engineering or data-platform roles, with 5+ years leading technical teams.
• Experience designing and modernizing large-scale data pipelines and platforms.
• Strong AWS experience with infrastructure as code and orchestration.
• Experience navigating legacy environments and data architectures.

Responsibilities

• Set and execute the engineering roadmap for data orchestration, observability, and batch modernization.
• Direct end-to-end design, delivery, testing, deployment, and production support of data pipelines and platforms.
• Provide technical depth to challenge designs, review trade-offs, and ensure secure, reliable, scalable solutions.
• Modernize legacy patterns and reduce reliance on outdated tech while maintaining compliance.
• Establish data quality, lineage, observability, IaC, testing, and deployment standards.
• Collaborate with product, architecture, SRE, QA, and business teams to align roadmaps.
• Build team capability through hiring, coaching, and developing junior engineers.
• Evaluate new data technologies and recommend adoption based on value and cost.

Skills

Data engineering leadership

AWS

Roadmap ownership

Team coaching

Data observability

Security & reliability

Communication

Terraform

Airflow

Education

Bachelor's degree in CS/Engineering/IS or related field

Tools

Terraform

Airflow

Python

Java

SQL

.NET

Informatica

SQL Server

Snowflake

Job description

At LPL, people leaders hold the key to the employee experience - shaping culture, driving performance, and guiding individuals to new heights. Because when that happens, we all win: clients, LPL, and, most importantly, our employees.

If you're ready to lead with intention and discover what's possible, LPL Financial invites you to apply today.

Job Overview

The VPII, Data Engineering Manager will lead a team and provide the day-to-day technical and delivery leadership needed to move complex programs forward. The leader will oversee LPL's enterprise data orchestration capability, data observability, and modernization of legacy batch workloads onto the Data Foundations Platform. Success requires deep data engineering experience, strong AWS and orchestration expertise, the ability to navigate legacy environments, and a track record of building teams that can operate with increasing autonomy.

Responsibilities

• Set and execute the engineering roadmap for enterprise data orchestration, data observability, batch modernization, and migration of legacy workloads to the Data Foundations Platform.
• Direct the end-to-end design, delivery, testing, deployment, reliability, and production support of large-scale data pipelines, databases, platforms, and event-driven workflows.
• Provide sufficient technical depth to challenge designs, guide architecture decisions, review engineering trade-offs, unblock teams, and ensure solutions are secure, reliable, scalable, and supportable.
• Modernize inconsistent and legacy patterns across Informatica, SQL Server and stored procedures, .NET, and proprietary technologies while reducing dependency on legacy capabilities, including DIS and LPL SQL.
• Establish engineering standards for data quality, lineage, observability, infrastructure as code, testing, deployment, resiliency, and operational support.
• Partner across Product, Architecture, SRE, Quality Engineering, Scrum, and business teams to sequence work, manage dependencies, communicate trade-offs, and deliver roadmap commitments.
• Build team capability through hiring, coaching, succession planning, vendor management, and development of junior engineering talent; create an operating model in which teams increasingly self-organize.
• Evaluate emerging data technologies and recommend adoption based on business value, architectural fit, operational risk, and total cost of ownership

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 and continuous improvement, and who contribute to a culture where we win together and create and share joy in our work.

Requirements

• Bachelor's degree in Computer Science, Engineering, Information Systems, or a related quantitative discipline, or equivalent professional experience.
• 10+ years of progressive data engineering or data-platform experience, including at least 5 years leading technical teams and delivery in complex enterprise environments.
• Demonstrated experience designing and modernizing large-scale data pipelines, databases, and data platforms that process high-volume, business-critical workloads.
• Production experience delivering end-to-end workflows in AWS, including infrastructure as code with Terraform and orchestration using Airflow or comparable technologies.
• Experience leading through both modern and legacy data environments, including SQL, relational and NoSQL databases, ETL and batch processing, event-driven architectures, data modeling, lineage, and production support.

Core Competencies

• Deep data engineering and platform architecture expertise
• Technical leadership, sound judgment, and decisive execution
• Large-scale team leadership, coaching, and talent development
• Roadmap ownership, prioritization, and executive communication
• Production reliability, observability, and operational accountability

Preferences

• Experience with AWS services such as Glue, Lambda, EC2, RDS, DynamoDB, S3, and API Gateway, as well as Confluent Kafka and Snowflake.
• Proficiency in Python, Java, SQL, or .NET, with the ability to participate credibly in architecture discussions, technical designs, and code reviews.
• Experience applying domain-driven design and delivering capabilities across backend, middleware, and front-end technologies.
• Financial-services or other highly regulated industry experience with complex data, control, resiliency, and audit requirements.
• Experience modernizing environments with approximately large ETLs and workloads ranging from hundreds of thousands to tens of millions of records per job.

Pay Range

$169,126.00 - $281,808.00

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.

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 they need 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.

EOE.

Information on Interviews

LPL will only communicate with a job applicant directly from a @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 [phone]. EAC 5.19.26