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Metro location, common mid-level data engineer title, and broad AWS/Snowflake requirements increase competition.
Core data engineering skills are transferable, but party/KYC regulatory expertise increases domain specificity.
Explicit 3+ years, mandatory AWS/data stack and regulated financial domain drive stringent screening.
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Design, develop, and maintain cloud-native party reference data services and pipelines to support client onboarding, KYC/AML, regulatory reporting, and operational efficiency.
Lead migration of legacy party data systems to scalable AWS-based architectures using services like Glue, Lambda, EventBridge, S3, RDS, and MSK/Kinesis.
Develop data mastering capabilities including identity resolution, deduplication, and golden record creation; build APIs and ensure data quality, monitoring, and regulatory compliance.
3+ years experience in data engineering/software development focusing on enterprise party/entity reference data.
Proficiency with AWS services: Glue, Lambda, EventBridge, S3, RDS (Aurora/Postgres), and MSK/Kinesis.
Experience in data mastering concepts like identity resolution and golden record management.
Experience with relational and cloud-native databases (Snowflake, Aurora, Postgres, MSSQL) and building data pipelines/APIs using Python.
Hands-on engineer capable of independently solving complex data engineering challenges related to party reference data and regulatory domains like KYC/AML.
Experienced working within Agile teams and collaborating with architects, security, and governance teams to ensure secure, compliant, and resilient data platforms.
Demonstrated ability mentoring junior engineers and contributing to engineering best practices and modernization initiatives, especially cloud migrations.