> Markdown version of [/jobs/ext/3780913-vp-principal-data-engineer](https://www.wearedevelopers.com/jobs/ext/3780913-vp-principal-data-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # VP, Principal Data Engineer - **Company:** LPL Financial - **Location:** Fort Mill, SC, United States (Remote available) - **Experience:** Expert - **Salary:** $159,959.0 - $266,564.0 - **Contract:** Permanent contract - **Skills:** .NET Framework, Airflow, Amazon Web Services, Amazon S3, Big Data, Cloud Engineering, Continuous Integration, Information Engineering, Extract Transform Load (ETL), Data Transformation, Data Systems, Cursor, DevOps, Github, Python (Programming Language), NoSQL, Octopus Deploy, Performance Tuning, Cloud Services, Microsoft Copilot, Amazon Simple Notification Service (SNS), Cloud Platform System, GitHub Copilot, System Availability, Snowflake, Servicebus, Event Driven Architecture, Deployment Automation, Apache Kafka, Data Management, Teamcity, Api Design, Amazon Simple Queue Service (SQS), Stream Processing, Software Version Control, Data Pipelines, Legacy Systems, Jenkins, Microservices - **Published:** October 16, 2026 - **Apply:** https://lplfinancial.wd1.myworkdayjobs.com/External/job/Fort-MillCharlotte/VP--Principal-Data-Engineer_R-052788-2 ## About the Role * 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., * 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. ## Description * 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. What Are We Looking For? We are seeking a technology leader who is motivated to pursue greatness, act with integrity, and is driven to help our clients succeed. The ideal candidate collaborates effectively across teams, embraces accountability, seeks opportunities to win together, and helps create and share joy while delivering innovative solutions that advance LPL Financial's mission and business objectives., * 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.