Description

You will design and deliver data, analytics, and AI architectures for enterprise clients in insurance and banking.

Responsibilities

• 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.

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