Data Engineering Manager: AWS & Orchestration Lead

LPL Financial

Austin (TX)

On-site

USD 169,000 - 282,000

Full time

2 days ago
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Job summary

LPL Financial is seeking a VPII, Data Engineering Manager to lead a team responsible for enterprise data orchestration, data observability, and modernization of legacy workloads onto the Data Foundations Platform.

You will drive end-to-end design and delivery of large-scale data pipelines, mentor engineers, and partner with product, architecture, and SRE to align roadmaps with business priorities. This role emphasizes leadership, technical depth, and a focus on reliability and scale.

Qualifications

  • Bachelor's degree in Computer Science, Engineering, Information Systems, or related field, 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.

Responsibilities

  • 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

Skills

Data engineering
Team leadership
Roadmap ownership
Executive communication
Observability

Education

Bachelor's degree in Computer Science or related field

Tools

Terraform
Airflow
AWS
Confluent Kafka
Snowflake
Python
Java
SQL
.NET

Job description

LPL Financial is seeking a VPII, Data Engineering Manager to lead a team responsible for enterprise data orchestration, data observability, and modernization of legacy workloads onto the Data Foundations Platform.

You will drive end-to-end design and delivery of large-scale data pipelines, mentor engineers, and partner with product, architecture, and SRE to align roadmaps with business priorities. This role emphasizes leadership, technical depth, and a focus on reliability and scale.

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