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.
• Preferred Certifications in Data, ML & AI platform in configuration and integrations.
• Exposure to multiple, diverse technologies, platforms and processing environments.
• Advanced knowledge of the design and development of solutions across different functional domains leveraging varied technologies.
• Experience with multiple middleware technologies (Application Servers, ESB & Message Brokers), Programming languages (e.g. Java, .Net, JavaScript), Operating Systems (e.g. Windows, Red hat Linux), Databases (Oracle, SQL Server, No SQL Databases like MongoDB and Postgres SQL) preferred.
• Advanced knowledge of one or more operating systems, databases, & programming languages used by FCCI.
• Experience supporting custom and third-party business applications, as well as understanding project interdependencies and systems integrations.
• Advanced working knowledge of server hardware, software, and related equipment and technologies.
• Solid understanding of Agile framework and incremental SDLC.
• Ability to understand and improve systems; evaluates system’s current state/practices and recommend modifications.
• Excellent communication, negotiation, interpersonal and organizational skills.
• Ability to analyze, define and solve problems, the use of good judgment and decision-making.

Tech Stack

• Cloud
• Java
• JavaScript
• Linux
• MongoDB
• NoSQL
• Oracle
• Postgres
• PySpark
• SDLC
• SQL
• Unity

Benefits

• Competitive salaries
• Excellent benefits package