Description

Design and deliver data, analytics, and AI architectures for enterprise clients in insurance and banking.

Present data and analytics architecture visions to client executives. Drive capabilities in descriptive/diagnostic analytics, APIs, enterprise data integration, and intelligent workflows. Partner with innovation teams to build repeatable frameworks and accelerators. Demonstrate platform value through demos, proof of concepts, workshops, and design sessions. Design, build, and engineer hands-on solutions to meet business outcomes.

Responsibilities

• Architect data, analytics, and AI solutions for enterprise insurance and banking clients.
• Present architectural visions and drive capabilities in analytics, APIs, and intelligent workflows.
• Build repeatable frameworks and accelerators with innovation teams.
• Deliver demos, proof of concepts, and workshops to demonstrate platform value.
• Engineer hands-on solutions using Python, Spark, and cloud platforms.

Required Skills

• 15+ years of experience as a Solutions Architect, Data Architect, Data & Analytics Engineer, Data Scientist, or ML Engineer.
• 5+ years implementing large-scale Snowflake Data Cloud and Platform.
• Expert knowledge of the complete data analytics stack (ETL, data platform design, BI, ML tools).
• Hands-on engineering with Python, Spark, and other scripting languages.
• Deep expertise in decision intelligence, AI, integrations, and data monetization.
• Proficiency in Snowflake data security measures and access controls.
• Experience with OLAP data modeling and data architecture.
• Cloud platform experience with AWS, Microsoft Azure, or GCP.
• Experience with BI tools such as Power BI, Microstrategy, Looker, or Tableau.

Preferred Skills

• Experience collaborating with Account Executives and Sales Engineers on account strategy.

Key Skills

Education

University degree in computer science, engineering, mathematics