Cloud Solutions Architect responsible for cloud computing initiatives at Cayuse. Designing and implementing cloud infrastructures and architectures that are scalable and cost - effective.
About the role
- Data Solution Architect/Engineer specializing in designing and implementing data solutions. Collaborating with stakeholders and project teams utilizing AI and cloud technologies for organizational needs.
Responsibilities
- 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.
Benefits
- competitive salaries
- excellent benefits package
- hybrid work schedule (3 days in the office and 2 working remote)
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