Data Engineer building scalable data pipelines and collaborating with teams at Ekimetrics. Involved in data quality, governance, and maintaining data integrity.
About the role
- Senior Data Engineer responsible for designing and implementing cloud-native data platforms for LPL Financial. Collaborating with stakeholders to enhance party reference data services and solutions.
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 (e.g., S&P Global Markit, Dun & Bradstreet, KYC/AML vendors) 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 such as CRM, trading, compliance, and reporting platforms
- Ensure data quality, reliability, and lineage through validation frameworks, monitoring, and metadata management
- Build resilient, observable systems with appropriate logging, alerting, and fault-tolerant design patterns
- Collaborate with architecture, security, and governance teams to ensure compliance with data privacy, regulatory, and cybersecurity standards
- Participate actively in Agile delivery processes including backlog refinement, sprint planning, code reviews, and production support
- Mentor junior developers and contribute to coding standards, design reviews, and engineering best practices
Requirements
- Minimum of 5 years of experience in data engineering or software development
- Experience with AWS services, including Glue, Lambda, EventBridge, S3, RDS (Aurora/Postgres), and MSK/Kinesis
- Hands-on experience working with party or entity reference data domains
- Experience with data mastering concepts such as identity resolution, source system prioritization, and golden record management
- Experience building data pipelines, APIs, and event-driven architectures
Benefits
- 401K matching
- health benefits
- employee stock options
- paid time off
- volunteer time off
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