Among computer and information systems managers, AI is already used for some of the tasks. Measured exposure for computer and information systems managers: 16% (some).

Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.

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About the job

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. 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.

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