Senior Associate - Data Architect

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.

What You’ll Do:

• 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.

What You’ll Bring:

• 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.

Desired Skills:

• 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.

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