VP, Principal Data Engineer

• Lead the delivery of scalable, high-quality, and cost-effective data solutions aligned to business priorities.
• Own end-to-end execution across engineering pods, balancing employee and vendor resources to optimize delivery and mitigate operational risk.
• Partner with business and technology leaders to prioritize initiatives, accelerate delivery, and improve engineering productivity.
• Mentor engineers and promote engineering excellence, innovation, accountability, and continuous improvement.
• Architect and build cloud-native data platforms supporting large-scale data ingestion, transformation, validation, and distribution.
• Design, develop, and optimize ETL/ELT pipelines using Python, AWS, Snowflake, DBT, Airflow, and related technologies.
• Develop event-driven and real-time data processing solutions leveraging Kafka, EventBridge, SQS, SNS, and related technologies.
• Modernize legacy platforms through secure, resilient, and reusable cloud-native architectures and patterns.
• Define technical roadmaps, engineering standards, and best practices that advance enterprise data capabilities.
• Ensure platform reliability, scalability, performance, and service-level objective compliance.
• Implement data quality, observability, auditing, reconciliation, and monitoring capabilities.
• Drive CI/CD adoption, DevOps automation, and operational best practices that improve resiliency and efficiency.
• Lead root-cause analysis and resolution of complex production issues while optimizing cloud performance and cost management.
• Partner with architects, product teams, and business stakeholders to deliver modern data products and platform capabilities.
• Influence technical strategy, architecture decisions, automation initiatives, and continuous innovation across the data ecosystem.

• 10+ years of experience designing and developing large-scale ETL/ELT pipelines and data platforms using AWS, Glue, S3, RDS/Aurora, Snowflake, DBT, and Airflow.
• 8+ years of hands-on experience developing data solutions with Python.
• 6+ years of experience building event-driven and streaming architectures using Kafka, EventBridge, SQS, and related technologies.
• 6+ years of experience with relational and NoSQL databases, including performance tuning and optimization.
• 6+ years of experience with source control, CI/CD, and DevOps practices using GitHub, TeamCity, Jenkins, Octopus, or similar tools.

• Technical leadership and architectural decision-making.
• Deep expertise in data engineering, ETL/ELT, and cloud-native platforms.
• Strong analytical, problem-solving, and strategic planning skills.
• Ability to translate complex business requirements into scalable technical solutions.
• Excellent communication and stakeholder management skills.
• Proven ability to lead high-performing teams in fast-paced, agile environments.

• 5+ years of experience within financial services, wealth management, or brokerage organizations.
• Experience with AI-assisted development tools such as GitHub Copilot, Copilot Chat, Cursor, or similar technologies.
• Experience with Terraform, infrastructure automation, and data lake implementations.
• AWS Associate-level certifications, such as AWS Certified Developer – Associate or AWS Certified Solutions Architect – Associate.
• Experience leading enterprise cloud modernization and data transformation programs.
• Experience developing APIs and microservices using .NET technologies.
• Familiarity with GitHub Copilot and other AI-assisted development tools.

Pay Range:

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