VP, Principal Data Engineer

LPL Financial is seeking a VP, Principal Data Engineer to modernize the investor experience across its Reporting, Statements and Letters platforms. The role combines strategic leadership with hands‑on execution to design and deliver enterprise‑scale data platforms, including cloud‑native pipelines and real‑time streaming solutions.

• 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 for large‑scale ingestion, transformation, validation, and distribution.
• Design, develop, and optimize ETL/ELT pipelines using Python and AWS tools including Snowflake
  , DBT
  , and Airflow
  .
• Develop event‑driven and real‑time data processing solutions leveraging Kafka
  , Event Bridge
  , SQS
  , SNS
  , and related technologies.
• Modernize legacy platforms 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, Dev Ops 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 building event‑driven and streaming architectures using Kafka
  , Event Bridge
  , SQS
  , and related technologies.
• 6+ years experience with relational and No
  
  SQL databases, including performance tuning and optimization.
• 6+ years experience with source control, CI/CD, and Dev Ops practices using Git Hub
  , Team City
  , Jenkins
  , Octopus
  , or similar tools.

• Python
• AWS (including Glue, S3, RDS/Aurora, Event Bridge)
• Snowflake, DBT, Airflow
• Kafka, SQS, SNS
• ETL/ELT
• Git Hub, Team City, Jenkins, Octopus
• CI/CD, Dev Ops
• No
  
  SQL, Relational databases
• AWS Associate‑level certifications: AWS Certified Developer – Associate, AWS Certified Solutions Architect – Associate

• 401K matching
• Health benefits
• Employee stock options
• Paid time off
• Volunteer time off

• 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 Git Hub Copilot, Copilot Chat, Cursor, or…