Principal Solution Architect

Micron Technology • Boise, ID

2d

About The Position

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. Demonstrated ability to lead multi-functional groups, with diverse interests and requirements, to a common objective. Coach, mentor, and help develop data engineers and data scientist.

Requirements

• Bachelors Degree required in Computer Science or Management Information Systems.
• 10+ years' experience in designing and developing database architecture, Data Warehouse Business Intelligence & Data Science solutions.
• 5+ years of experience in architecting, data modeling, and developing large-scale enterprise data solutions with a focus on manufacturing, and/or business applications (Sales/Finance/Supply Chain/HR/Procurement) preferably using GCP cloud(BigQuery) or Snowflake.
• 3+ years of cloud experience preferably with Google Cloud Platform (GCP) in designing and developing applications and data solutions in combination with BigQuery or Snowflake.
• Expertise in Python programming languages and strong experience in YAML.
• Excellent communication and presentation skills with a high degree of comfort speaking with management and developers with a track record of significant direct interaction and peer leadership with partners across the company.

Nice To Haves

• Experience in designing, developing and operationalizing AI/ML models will be an added advantage.
• Experience with CI/CD pipelines with and scheduling tools is desirable.
• Experience with AI development/architecture including Google ADK, Snowflake Cortex or creating MCP tools is a plus.

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.
• Lead multi-functional groups, with diverse interests and requirements, to a common objective.
• Coach, mentor, and help develop data engineers and data scientist.

What This Job Offers

• Job Type: Full-time
• Career Level: Principal