Senior Backend Data Engineer developing scalable party data solutions at LPL Financial. Involved in cloud-native data architectures and mentoring junior engineers.
Responsibilities
Design, develop, and maintain party reference data services and pipelines supporting clients, counterparties, issuers, and legal entities.
Build and enhance cloud-native data solutions using AWS services such as Glue, Lambda, EventBridge, S3, RDS (Aurora/Postgres), and MSK/Kinesis.
Contribute to modernization efforts by migrating legacy party data systems from on-premise platforms to scalable, cloud-based architectures.
Integrate and manage third-party data providers to ensure accurate ingestion, enrichment, and synchronization of party data.
Implement data mastering capabilities including deduplication, survivorship rules, identity resolution, and golden record creation.
Develop and maintain APIs and data services to deliver party data to downstream systems.
Requirements
Minimum of 5 years of experience in data engineering or software development with a strong focus on enterprise data platforms.
Experience with AWS services, including Glue, Lambda, EventBridge, S3, RDS (Aurora/Postgres), and MSK/Kinesis.
Experience building data pipelines, APIs, and event-driven architectures.
Experience building APIs using Python on AWS Lambda behind API Gateway.
Experience with data mastering concepts such as identity resolution, source system prioritization, and golden record management.
Benefits
401K matching
health benefits
employee stock options
paid time off
volunteer time off
Job title
Senior Backend Data Engineer – Reference Data, AWS
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