Lead Data Engineer

LPL Financial

AVP, Data Services – Lead Data Engineer at LPL Financial responsible for developing and supporting data applications and solutions for reference data management. Collaborating closely with stakeholders and technical teams.

Posted 7/17/2026full-timeFort Mill • South Carolina, Texas • 🇺🇸 United StatesSenior💰 $119,068 - $198,378 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and developing cloud-native data applications and APIs, with a strong focus on data quality, governance, and integration of third-party data sources. Proven ability to lead technical teams and collaborate with stakeholders to deliver scalable reference data solutions.

Highest-signal resume keywords

Cloud-Native Application DevelopmentData Pipeline DevelopmentAPI Development and SupportTechnical LeadershipEvent-Driven Architecture

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data EngineeringSoftware EngineeringCloud EngineeringData Quality ControlsValidation RulesMatching and Deduplication ProcessesSurvivorship LogicLineage TrackingAgile MethodologiesData Governance

Soft Skills

CollaborationMentorshipCommunication

Tools & Technologies

AWS GlueAWS LambdaAWS EventBridgeAWS S3AWS RDSKafkaJira

Industry Keywords

Reference DataClient DomainCounterparty DomainIssuer DomainLegal Entity DomainData ServicesCompliance Requirements

Tech Stack

Tools & technologies

AWSCloudKafka

About the role

Key responsibilities & impact

Lead the design, development, and support of party reference data applications, APIs, and data services.
Partner with business stakeholders, architects, and engineering teams to deliver reference data solutions supporting client, counterparty, issuer, and legal entity domains.
Develop and maintain cloud-native data pipelines utilizing AWS services such as Glue, Lambda, EventBridge, S3, RDS, and Kafka/MSK.
Support the modernization of legacy reference data platforms through migration to scalable cloud-based solutions.
Integrate third-party reference data sources including Dun & Bradstreet, S&P Global, and other data providers to support enrichment, validation, and compliance requirements.
Develop and support APIs and data services consumed by CRM, compliance, reporting, operations, and trading platforms.
Implement data quality controls, validation rules, matching and deduplication processes, survivorship logic, and lineage tracking capabilities.
Collaborate with data governance and architecture teams to support reference data standards, metadata management, and best practices.
Participate in Agile planning, backlog refinement, estimation, sprint execution, and delivery activities using Jira.
Provide technical leadership and mentorship to junior engineers and project team members.

Requirements

What you’ll need

Minimum of 7 years of experience in data engineering, software engineering, cloud engineering, or related technical disciplines.
Minimum of 2 years of experience serving as a technical lead, project lead, or people leader.
Experience developing and supporting cloud-native applications, APIs, and data platforms.
Experience developing event-driven architectures, data pipelines, and distributed data services.
Bachelor’s degree in Computer Science, Information Technology, Engineering, Mathematics, or a related technical field (or equivalent combination of education and relevant work experience).

Benefits

Comp & perks

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