Lead Data Engineer

LPL Financial

AVP, Data Services – Lead Data Engineer overseeing data engineering within LPL Financial's Data & Analytics organization. Focused on scalable solutions for critical business functions and team mentorship.

Posted 7/16/2026full-timeAustin • Texas • 🇺🇸 United StatesSenior💰 $132,458 - $220,729 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and developing cloud-native data applications and services, with a strong focus on data quality, compliance, and integration of third-party data sources. Proven ability to lead projects, mentor engineers, and collaborate effectively in Agile environments.

Highest-signal resume keywords

Cloud-Native Data Pipeline DevelopmentAWS Services (Glue, Lambda, EventBridge, S3, RDS, Kafka/MSK)API Development and Data ServicesData Quality Control and Validation FrameworksReference Data Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringSoftware DevelopmentCloud EngineeringSQLData ModelingEvent-Driven ArchitectureData Pipeline DevelopmentAPI DevelopmentData GovernanceAgile Methodologies

Soft Skills

MentoringCollaborationTechnical Guidance

Tools & Technologies

Jira

Industry Keywords

Reference DataMaster DataCustomer DataLegal Entity DataData StandardsOperational Excellence

Tech Stack

Tools & technologies

AWSCloudKafkaSQL

About the role

Key responsibilities & impact

Lead the design, development, and support of party reference data applications and services.
Partner with architects and business stakeholders to implement data solutions supporting client, counterparty, issuer, and legal entity data domains.
Build and maintain cloud-native data pipelines utilizing AWS services including Glue, Lambda, EventBridge, S3, RDS, and Kafka/MSK.
Support modernization initiatives by migrating legacy reference data platforms to scalable cloud-based architectures.
Integrate and manage third-party reference data providers such as Dun & Bradstreet, S&P Global, and other enrichment sources.
Develop and maintain APIs and data services supporting compliance, CRM, operations, reporting, and trading systems.
Implement data quality controls, validation frameworks, deduplication processes, and lineage tracking capabilities.
Collaborate with data governance and architecture teams to support reference data standards and best practices.
Participate in Agile ceremonies, backlog refinement, estimation, and technical delivery planning using Jira.
Mentor junior engineers and provide technical guidance across project teams.
Support platform monitoring, resiliency, performance tuning, observability, and operational excellence initiatives.

Requirements

What you’ll need

Minimum of 7 years of experience in data engineering, software development, cloud engineering, or related fields.
Minimum of 2 years of experience leading projects, mentoring engineers, or serving as a technical lead.
Experience working with reference data, master data, customer data, legal entity data, or related domains.
Experience building and supporting cloud-native applications and data platforms.
Strong SQL and data modeling skills.
Experience developing APIs, data pipelines, and event-driven architectures.
Experience working in Agile delivery environments.

Benefits

Comp & perks

401K matching
health benefits
employee stock options
paid time off
volunteer time off
more