Data Solution Architect – Engineer

Role Overview

• Collaborates with business stakeholders to determine functional and non-functional requirements for new software and/or applications.
• Provide Data / ML and AI platform recommended business workflow and architecture, understanding requirements, and helping each project team to document them.
• Lead and develop Data Modernization strategy and roadmap to enable Insurance Carrier to migrate data computing to cloud using cloud native data / ML and AI assets, tools and capabilities.
• Designs and supports the application architecture utilized by in-house developed applications, vendor applications and databases; ensures development efforts are carried out using a consistent and quality driven approach.
• Serves as a hands-on Data / ML & A.I. Specialist Architect to include code and framework development.
• Provides hands on technical support, guidance and coaching to Data / ML and A.I. developers.
• Oversees progress of development team to ensure consistency with initial design. Also ensures the software meets all requirements of quality, security, modifiability, extensibility, etc.
• Designs and implements long-term strategic goals and short-term tactical plans for managing and maintaining Data / ML and A.I. software systems and platform. (Including assessing and addressing technical risks.)
• Building Databricks Delta Lake based Lakehouse using PySpark Jobs, Databricks Workflows, Unity Catalog, Delta Sharing, Serverless computing and Medallion architecture.
• Design, develop and maintain Databricks-based data architectures and models for high availability, scalability and performance.
• Demonstrate expertise in implementing data security best practices to safeguard sensitive information within Databricks.

Requirements

• Bachelor’s degree in computer science, IT or information systems.
• Two plus years Implementing AI solutions for P&C insurance companies
• Experience leading best practices and end-to-end architecture, design, and delivery.
• Ten or more years of experience in data modelling & data engineering, including at least 5 years in an architecture-focused & lead technical role.
• Five or more years of experience architecting enterprise-grade cloud data platforms using Databricks.
• Hands-on experience with Databricks deployment, configuration and administration.
• Strong commercial property & casualty (P&C) insurance knowledge.
• Working knowledge of Cloud Computing Technologies & Services.

Tech Stack

• Cloud
• PySpark
• Unity

Benefits

• competitive salaries
• excellent benefits package
• hybrid work schedule (3 days in the office and 2 working remote)