Senior Associate, Actuarial Data Engineer/Cloud Architect

About this role

Location Designation:
Fully Remote


This position is fully remote
Business Overview
The Actuarial Data & Analytics (DnA) team within New York Life’s Actuarial Services division is seeking a highly skilled and versatile data engineer/architect to design, build, and optimize our next-generation actuarial data platform in AWS.


This is a hands-on individual contributor role for someone who thrives at the intersection of data engineering, financial analytics, and AI innovation. You’ll be responsible for building robust, scalable data pipelines, developing automation frameworks, and improving data architecture that supports the company’s financial reporting and actuarial modeling functions.


If you’re passionate about solving complex data challenges, modernizing legacy systems, and creating intelligent data-driven solutions, this role offers both autonomy and impact.


What You'll Do
Data Engineering & Architecture

• Design and implement cloud-native data pipelines in AWS using tools such as Glue, Lambda, Step Functions, Redshift, and S3.
• Build and optimize ETL/ELT processes that deliver clean, reliable data to actuarial, finance, and analytics teams.
• Develop efficient data models, transformations, and APIs using Python, SQL, and PySpark.
• Modernize existing on-premises processes into scalable AWS architecture.
• Implement and maintain best practices for data governance, lineage, and performance tuning.

Automation & Innovation

• Automate data ingestion, transformation, and validation workflows using Python and AWS services.
• Build AI-driven and analytical tools to enhance financial forecasting, validation, and decision support.
• Experiment with Agentic AI and intelligent orchestration to streamline complex actuarial data flows.
• Continuously improve performance, resilience, and maintainability of data systems.

Collaboration & Delivery

• Partner closely with actuarial and finance teams to understand data re...