Senior Associate, Actuarial Data Engineer/Cloud Architect

New York Life Insurance Company is seeking a highly skilled and versatile data engineer/architect to design, build, and optimize their next-generation actuarial data platform in AWS. The role involves building robust data pipelines, developing automation frameworks, and improving data architecture to support financial reporting and actuarial modeling functions.

Responsibilities:

• 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
• 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
• Partner closely with actuarial and finance teams to understand data requirements and deliver timely, high-quality solutions
• Work with cloud infrastructure and DevOps teams to integrate solutions into CI/CD pipelines (Terraform, CodeBuild, GitHub)
• Document data flows, architecture, and technical processes to enable transparency and reusability
• Support production data operations, troubleshooting, and optimization efforts

Requirements:

• Bachelor degree in Computer Science, Data Engineering, or related field
• 7+ years of experience in data engineering, architecture, or analytics, ideally in financial or actuarial environments
• Proven success as a hands-on technical expertise building and maintaining complex ETL systems and cloud data platforms
• Expert-level skills with AWS (S3, Redshift, Glue, Lambda, EC2, Step Functions)
• Proficiency in Python, SQL, and ETL pipeline design
• Experience with data warehousing, dimensional modeling, and performance tuning
• Hands-on experience with Terraform, Docker, and CI/CD integration
• Strong analytical and problem-solving mindset
• Proactive and self-directed; takes ownership of technical outcomes
• Excellent communication and documentation skills
• Collaborative and curious, eager to learn business context and continuously improve
• Passion for innovation, automation, and high-quality engineering practices
• Familiarity with actuarial or financial data systems (e.g., AXIS, Prophet) is a plus
• Exposure to AI/ML-based automation or data quality frameworks preferred
• AWS Certified Data Analytics – Specialty or Solutions Architect – Associate