PRINCIPAL SOLUTIONS ARCHITECT

Job Description:
AS A PRINCIPAL SOLUTIONS ARCHITECT AT ANBLICKS, YOU WILL :
Present Data & Analytics architecture vision and solution to client executives
Position yourself as a Trusted Advisor to client executives by executing client meeting with a focus on achieving their desired business outcomes
Drive Data, Analytics & AI capabilities and innovation around Data & Analytics Products, Descriptive & Diagnostic Analytics, API’s, Enterprise Data Integration & Insights Hub, Business Alerts & Intelligent workflows, Data Marketplace etc. 
Partner with the innovation team in driving repeatable Frameworks, Accelerators and Business point solutions for Insurance & Banking industry verticals
Demonstrate and communicate the value of Data & Platform throughout the engagement, from Demo to Proof of concept to Workshops & Design sessions
Maintain a deep subject matter expertise in Snowflake data cloud and other competing technologies.
OUR IDEAL PRINCIPAL SOLUTIONS ARCHITECT WILL HAVE :
University degree in computer science, engineering, mathematics or related fields, or equivalent experience
Minimum 15 years of collective experience as a seasoned Solutions Architect, Data Architect, Data & Analytics engineer, Data Scientist and ML engineer
Expert knowledge of complete data analytics stack and workflow – ETL, Data platform design, BI & Analytics, ML tools & platforms
Expert knowledge in enabling Decision Intelligence solutions, AI, Integrations and Data Monetization solutions
Hands-on Data, Analytics and AI engineering experience and ability to design, build and engineer solutions as and when needed
Minimum 5 years of practical experience implementing large scale snowflake Data Cloud & Platform with expert level deeper technical expertise. 
Excellent domain knowledge in Insurance & Banking industry verticals
Software development experience with Python, Spark and other Scripting languages
Proficiency in implementing data security measures, access controls, and design within the Snowflake platform.
Deep collaboration experience with Account Executives and Sales Engineers on account strategy
Experience with common BI and data exploration tools (e.g., Power BI, Microstrategy, Looker, Tableau)
OLAP Data modeling and data architecture experience 
Experience and understanding of large-scale cloud platforms (e.g., Amazon AWS, Microsoft Azure, GCP,