Solutions Architect

Highlights

• Advise customers from developers to executives on data and AI strategy.
• Design end-to-end AI solutions that unlock new business value.
• Guide customers through roadmaps to accelerate business outcomes.

Ideal candidate

Low-ego, AI-native thinker who thrives in fast-moving environments and experiments to simplify work. Energized by advising customers and redefining how data and AI deliver business impact.

Requirements

• BA/BS in computer science, engineering, mathematics or related fields, or equivalent practical experience
• 3 years of technical consulting experience
• Experience in a lead role for analytics projects for large enterprises
• Experience implementing and operating Snowflake centric solutions
• Understanding of complete data analytics stack and workflow, from ETL to data platform design to BI and analytics tools
• Deep understanding of the complete AI/ML lifecycle, from data preparation and feature engineering to model training, deployment, and ongoing monitoring
• Familiarity with AI/ML and Transformation technologies
• Hands-on experience with modern MLOps tools and frameworks for deploying, managing, and governing machine learning models at scale
• Proven experience with developing generative AI and LLM use cases
• Familiarity with industry common BI and ETL solutions
• Hands-on experience in a technical role leveraging SQL and Python (optionally Java or Spark) to build, operate and maintain data analytics solutions
• Extensive knowledge of and experience with large-scale database technology (e.g. Snowflake, Netezza, Exadata, Teradata, Greenplum, etc.)
• Proficiency in implementing data security measures, access controls, and design specifically within the Snowflake platform
• Familiarity with prompt engineering techniques