Staff Solution Architect, SMAI

Role & responsibilities

• Design and architect scalable production-ready advanced analytic, and data science solutions.
• Implement solutions that eliminate or minimize technical debt through a well-designed architecture, data model, and lifecycle.
• Bring together and share best-practice knowledge among the data science and solution architect community.
• Coach, mentor, and help develop data engineers and data scientist.
• Explore Trends in Tools and Technologies and bring new ideas to life.

Preferred candidate profile

5+ years of experience in architecting, data modeling, and developing large-scale enterprise data solutions and business applications in any business domains (Sales/Finance/Supply Chain/HR/Procurement) using Snowflake.

• 10+ years experience in designing and developing database architecture, DWBI & Data Science solutions.
• 3+ years of cloud experience preferably with Google Cloud Platform (GCP) in designing and developing business applications and data solutions in combination with Snowflake.
• Expertise in Python programming languages. Good experience in YAML.
• Experience with CI/CD tools and scheduling tools is desirable.
• Experience in designing, developing and operationalizing AI/ML and deep learning models will be an added advantage.
• Presentation skills with a high degree of comfort speaking with management and developers.
• Demonstrated ability to lead multi-functional groups, with diverse interests and requirements, to a common objective.
• Demonstrable ability to adapt to new technologies and learn quickly.
• Excellent communication skills, with a track record of significant direct interaction and peer leadership with partners across the company
• Strong analytical, problem-solving, and written communication skills.