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

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

Senior Data Engineer – Reference Data, AWS

Key skills