VPII, Data Engineering Manager

At LPL, people leaders hold the key to the employee experience - shaping culture, driving performance, and guiding individuals to new heights. Because when that happens, we all win: clients, LPL, and, most importantly, our employees.

The VPII, Data Engineering Manager will lead a team and provide the day-to-day technical and delivery leadership needed to move complex programs forward. The leader will oversee LPL's enterprise data orchestration capability, data observability, and modernization of legacy batch workloads onto the Data Foundations Platform. Success requires deep data engineering experience, strong AWS and orchestration expertise, the ability to navigate legacy environments, and a track record of building teams that can operate with increasing autonomy.

• Set and execute the engineering roadmap for enterprise data orchestration, data observability, batch modernization, and migration of legacy workloads to the Data Foundations Platform.
• Direct the end-to-end design, delivery, testing, deployment, reliability, and production support of large-scale data pipelines, databases, platforms, and event-driven workflows.
• Provide sufficient technical depth to challenge designs, guide architecture decisions, review engineering trade-offs, unblock teams, and ensure solutions are secure, reliable, scalable, and supportable.
• Modernize inconsistent and legacy patterns across Informatica, SQL Server and stored procedures, .NET, and proprietary technologies while reducing dependency on legacy capabilities, including DIS and LPL SQL.
• Establish engineering standards for data quality, lineage, observability, infrastructure as code, testing, deployment, resiliency, and operational support.
• Partner across Product, Architecture, SRE, Quality Engineering, Scrum, and business teams to sequence work, manage dependencies, communicate trade-offs, and deliver roadmap commitments.
• Build team capability through hiring, coaching, succession planning, vendor management, and development of junior engineering talent; create an operating model in which teams increasingly self-organize.
• Evaluate emerging data technologies and recommend adoption based on business value, architectural fit, operational risk, and total cost of ownership.

We're looking for strong collaborators who deliver exceptional client experiences and thrive in fast-paced, team-oriented environments. Our ideal candidates pursue greatness, act with integrity, and are driven to help our clients succeed. We value those who embrace creativity and continuous improvement, and who contribute to a culture where we win together and create and share joy in our work.

• Bachelor's degree in Computer Science, Engineering, Information Systems, or a related quantitative discipline, or equivalent professional experience.
• 10+ years of progressive data engineering or data-platform experience, including at least 5 years leading technical teams and delivery in complex enterprise environments.
• Demonstrated experience designing and modernizing large-scale data pipelines, databases, and data platforms that process high-volume, business-critical workloads.
• Production experience delivering end-to-end workflows in AWS, including infrastructure as code with Terraform and orchestration using Airflow or comparable technologies.
• Experience leading through both modern and legacy data environments, including SQL, relational and No
  
  SQL databases, ETL and batch processing, event-driven architectures, data modeling, lineage, and production support.

• Deep data engineering and platform architecture expertise.
• Technical leadership, sound judgment, and decisive execution.
• Large-scale team leadership, coaching, and talent…