VP, Principal Data Engineer

LPL Financial

. Lead delivery of scalable, high-quality, and cost-effective data solutions aligned to business priorities .

Posted 10/15/2026full-timeUnited StatesLead💰 $159,959 - $266,564 per yearWebsite

Tech Stack

Tools & technologies

AirflowAWSCloudETLJenkinsKafkaMicroservicesNoSQLPythonTerraform.NET

About the role

Key responsibilities & impact

Lead 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

Requirements

What you’ll need

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
Preferred: 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

Benefits

Comp & perks

401K matching
Health benefits
Employee stock options
Paid time off
Volunteer time off
Competitive LPL Total Rewards package