Senior Associate - Data Architect

New York Life • New York, NY

22d • $124,000 - $177,000 • Hybrid

About The Position

We are seeking an energetic and passionate Senior Data Architect to design and execute our company’s modern data management strategy. As a key member of Enterprise Data team, you will collaborate with Data Product Owners, Data Scientists, Data Engineers, and end-users to reimagine, design, and build the next generation of cloud-based insurance solutions using cutting-edge technologies like AWS, APIs, and AI.

Requirements

• 5+ years of hands-on experience as a Data Modeler for large-scale enterprise solutions, with a strong focus on agile practices.
• Deep understanding of modern data architecture, including experience with data lakes, data warehouses, data marts, relational and dimensional modeling, data quality, and master data management.
• Strong background in Operational Data Stores, Dimensional Modeling, and supporting application data architecture. Experience with Oracle, Postgres, MySQL, and understanding of best practice architectural concepts for relational data models.
• Experience in designing, deploying, and evaluating tools, frameworks, and patterns for scalable data platforms.
• Extensive experience with industry-leading data platform technologies such as Data Lake, Databricks, Snowflake
• Experience with database technologies for both structured and unstructured data, ensuring optimal storage and retrieval.
• Extensive hands-on experience in creating STMs
• Proficient in cloud architecture and best practices, particularly with AWS Cloud tools such as Amazon RDS, Redshift, AWS DMS, AWS Glue, Amazon S3, AWS Lambda, and more.
• Proficient in managing large datasets, cloud computing, open-source tools, and optimization techniques.
• Expertise in overall solution architecture for data platforms built on the cloud.
• Strong experience in data integration, data processing, data streaming, and message queuing techniques
• Familiarity with relevant code repository and project tools like GitHub, JIRA, Confluence.
• Experience with Continuous Integration and Continuous Deployment (CI/CD) processes.
• Detail-oriented with strong analytical, problem-solving, and organizational skills.
• Excellent communication skills, capable of effectively conveying complex concepts both technical and business teams.

Nice To Haves

• Solid understanding of the insurance, wealth management or financial services industry
• Extensive hands-on development experience with Cloud (AWS, Azure) and Storage services are desirable.
• Knowledge of machine learning pipelines and frameworks is a plus.
• Experience supporting AI solutions with data product strategy and enabling solutions.
• Bachelor’s degree in computer science or an Engineering discipline
• Certification in data management (structure and unstructured), and/or cloud architecture or engineering a plus
• Certification in delivery methodologies such as Scaled Agile a plus.

Responsibilities

• Design scalable and efficient Logical and Physical data models for enterprise data products storage solutions and lines of businesses
• Design operational and analytical data models
• Develop data management frameworks and standards to ensure data integrity, quality, and security.
• Works closely with Data Product Managers, Value Stream architects, Data engineers to understand the business problems, desired outcomes using data strategy and translating these requirements into data solutions.
• Create and maintain inventory and designs of current state data capabilities
• Ensure alignment of data models with end-to-end data architecture including performance tuning to adhere to SLAs.
• Demonstrated experience as a change agent, successfully leading and implementing organizational change initiatives that drive transformation and improve business outcomes.
• Identify and frame opportunities for consolidation / simplification of legacy technologies, data stores, and applications.
• Build subject matter expertise to be able to answer business questions as well as support new initiatives from a data knowledge perspective
• Enforce data governance policies and procedures as part of the data model
• Stay up to date with the latest industry trends and technologies in data management.
• Identify opportunities for improvement and innovation within the existing data infrastructure.
• Ensure data solutions comply with relevant data privacy and security regulations.
• Implement data security measures to protect sensitive information.

Benefits

• We provide a full package of benefits for employees – and have unique offerings for a modern workforce, including leave programs, adoption assistance, and student loan repayment programs.
• Based on feedback from our employees, we continue to refine and add benefits to our offering, so that you can flourish both inside and outside of work.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level