VP, Principal Data Engineer

LPL Financial is modernizing the way investors experience Reporting, Statements, and Letters, and this role brings strategic, hands-on leadership to build enterprise data capabilities. You’ll help define standards and deliver cloud-native platforms, including real-time streaming, while working in an environment focused on engineering excellence and continuous improvement.

What you’ll do

• Lead the delivery of scalable, high-quality, cost-effective data solutions aligned to business priorities.
• Own end-to-end execution across engineering pods by balancing employee and vendor resources to optimize delivery and reduce 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 for large-scale ingestion, transformation, validation, and distribution.
• Design, develop, and optimize ETL/ELT pipelines using Python, AWS, Snowflake, DBT, and Airflow.
• Build event-driven and real-time data processing solutions leveraging Kafka, EventBridge, SQS, SNS, and related technologies.
• Modernize legacy systems using secure, resilient, reusable cloud-native architectures and patterns.
• Define technical roadmaps, engineering standards, and best practices to advance enterprise data capabilities.
• Ensure platform reliability, scalability, performance, and compliance with service-level objectives.
• Implement data quality, observability, auditing, reconciliation, and monitoring capabilities.
• Drive CI/CD adoption, DevOps automation, and operational best practices to 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 stakeholders to deliver modern data products and platform capabilities.
• Influence technical strategy and architecture decisions, including automation initiatives and continuous innovation across the data ecosystem.

Key requirements

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

Technologies you’ll work with

Python, AWS, Glue, S3, RDS/Aurora, Snowflake, DBT, Airflow, Kafka, EventBridge, SQS, SNS, ETL/ELT, GitHub, TeamCity, Jenkins, Octopus, CI/CD, DevOps, NoSQL, and Relational databases.

AWS Associate-level certifications are included: AWS Certified Developer – Associate and AWS Certified Solutions Architect – Associate.

Benefits

• 401K matching
• health benefits
• employee stock options
• paid time off
• volunteer time off

Additional preferences

• 5+ years 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.

Compensation and location

Location: Fort Mill, SC (onsite)

Pay range: $159,959 - $266,564 per year.

Actual base salary varies based on factors including relevant skills, prior experience, education, base salary of internal peers, demonstrated performance, and geographic location.

Interview information

• LPL will only communicate with applicants 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, or information regarding an applicant’s bank or credit card.
• Questions about the application process can be directed to LPL’s Human Resources Solutions Center at (855) 575-6947.