Data Engineering Manager

LPL Financial

. Set and execute the engineering roadmap for enterprise data orchestration, data observability, batch modernization, and migration of legacy workloads to the Data Foundations Platform .

Posted 11/3/2026full-timeUnited StatesLead💰 $169,126 - $281,808 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive expertise in data engineering and platform architecture, with a strong focus on designing and modernizing large-scale data pipelines and databases. Proven ability to lead technical teams, establish engineering standards, and ensure production reliability and operational accountability.

Highest-signal resume keywords

Data Engineering ExpertiseTechnical LeadershipAWS Production ExperienceInfrastructure As Code With TerraformData Pipeline Modernization

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline DesignDatabase ModernizationETL ProcessingEvent-Driven ArchitectureData ModelingSQLNoSQLData LineageBatch ProcessingProduction Support

Soft Skills

Team LeadershipCoachingDecisive ExecutionCommunicationCollaboration

Tools & Technologies

AWS GlueTerraformAirflowConfluent KafkaSnowflakeAWS LambdaAWS EC2AWS RDSAWS DynamoDBAWS S3

Industry Keywords

Financial ServicesRegulated IndustryData ObservabilityData QualityInfrastructure As Code

Tech Stack

Tools & technologies

AirflowAWSDynamoDBEC2ETLInformaticaJavaKafkaNoSQLPythonSnowflakeSQLTerraform.NET

About the role

Key responsibilities & impact

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 end-to-end design, delivery, testing, deployment, reliability, and production support of large-scale data pipelines, databases, platforms, and event-driven workflows
Challenge designs, guide architecture decisions, review engineering trade-offs, unblock teams, and ensure solutions are secure, reliable, scalable, and supportable
Modernize legacy patterns across Informatica, SQL Server and stored procedures, .NET, and proprietary technologies
Establish engineering standards for data quality, lineage, observability, infrastructure as code, testing, deployment, resiliency, and operational support
Partner with 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

Requirements

What you’ll need

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
At least 5 years leading technical teams and delivery in complex enterprise environments
Experience designing and modernizing large-scale data pipelines, databases, and data platforms processing high-volume, business-critical workloads
Production experience delivering end-to-end workflows in AWS
Infrastructure as code with Terraform
Orchestration using Airflow or comparable technologies
Experience with SQL, relational and NoSQL 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 development
Roadmap ownership, prioritization, and executive communication
Production reliability, observability, and operational accountability
Preferred: experience with AWS Glue, Lambda, EC2, RDS, DynamoDB, S3, API Gateway, Confluent Kafka, and Snowflake
Preferred: proficiency in Python, Java, SQL, or .NET
Preferred: experience applying domain-driven design and delivering capabilities across backend, middleware, and front-end technologies
Preferred: financial-services or other highly regulated industry experience
Preferred: experience modernizing large ETL environments and workloads ranging from hundreds of thousands to tens of millions of records per job

Benefits

Comp & perks

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