Remote Data Platform & Transformation Architect

International Business Machines Corporation; Tucson (AZ); Remote; USD 120,000 - 180,000; Full time

Job summary

IBM Consulting is seeking a Business Transformation Consultant specializing in Data Platforms to plan, design, manage, and implement core data platform components for Watson Service Offerings and Digital Insights Platforms. The role includes delivering significant client business improvements and collaborating with Sales and Delivery teams.

This position can be performed from anywhere in the US, with focus on cloud-based and on‑premise deployments, data lake design, and architecture.

Qualifications

• Deep expertise in planning, designing, managing and implementing data platforms and related technologies.
• Experience with cloud and on-premise solutions, data lakes, and architecture.
• Proven ability to deliver significant client business improvements.

Responsibilities

• Design solution architecture for data platforms in virtualized and cloud environments.
• Plan, manage and implement core components of Watson Service Offerings and Digital Insights Platforms.
• Define solutions and present a point of view to clients with Sales and Delivery teams.
• Develop cloud-based solutions leveraging architecture, data lake, design and implementation expertise.
• Drive lasting business transformation through data platforms and service offerings.

Skills

Data platforms

Snowflake

Databricks

Digital Insights Platforms

Cloud architecture

Data lake

Solution architecture

OpenAI certification

Claude certifications

Tools

Snow Pro Certification

Databricks Certification

Job description

IBM Consulting is seeking a Business Transformation Consultant specializing in Data Platforms to plan, design, manage, and implement core data platform components for Watson Service Offerings and Digital Insights Platforms. The role includes delivering significant client business improvements and collaborating with Sales and Delivery teams.

This position can be performed from anywhere in the US, with focus on cloud-based and on‑premise deployments, data lake design, and architecture.