Data Solutions Architect for AI

IBM Consulting works with leading companies across industries to support their hybrid cloud and AI journeys, leveraging IBM technology and Red Hat.

• 10+ years of experience in data engineering, analytics engineering, or data architecture roles.
• Deep expertise in Snowflake architecture patterns, performance optimization, security, and platform-specific features.
• Strong understanding of dbt Cloud and modern ELT/analytics engineering principles.
• Hands-on experience with Microsoft Fabric.
• Solid grasp of Azure ecosystem, including Azure Blob Storage and related integration patterns.
• Hands-on ability to validate technical decisions in the platform.
• Ability to produce clear architectural artifacts, including diagrams, decision records, and standards documentation.
• Experience architecting solutions spanning multiple vendors and integration touchpoints.
• Exposure to Snowflake Cortex, AI/ML data patterns, and understanding data design implications on model performance.

• Own the end-to-end technical architecture of the data platform.
• Translate business requirements into clear, actionable technical blueprints.
• Guide engineering teams to implement the architectural designs.
• Act as the technical authority for the modern data stack including Snowflake, dbt Cloud, Azure, Microsoft Fabric, and Python-based orchestration.
• Provide architectural governance and ensure strategic fit of all solution components within the broader platform and existing investments.