Modern Data & Strategy Architect

Introduction

A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You'll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you'll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You'll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences.

Your role and responsibilities

As a Business Transformation Consultant specializing in Data Platforms, you will plan, design, manage, and implement core components of Watson Service Offerings and Digital Insights Platforms, as well as other similar non-IBM solutions. This role involves creating solutions that deliver significant and lasting business improvements for clients.

Your primary responsibilities will include:

• Design Solution Architecture: Provide expert architecture, design, and implementation support for solutions in virtualized and cloud-based environments, including both hosted and on-premise solutions.

• Implement Data Platforms: Plan, manage, and implement core components of Watson Service Offerings and Digital Insights Platforms to deliver significant business improvements for clients.

• Support Sales and Delivery: Define solutions and present a point of view for these offerings' services to clients, collaborating with Sales and Delivery teams.

• Develop Cloud-Based Solutions: Create solutions in virtualized and cloud-based environments, leveraging expertise in architecture, data lake, design, and implementation.

• Drive Business Transformation: Deliver lasting business improvements for clients through the implementation of Data Platforms and Watson Service Offerings.

*This job can be performed from anywhere in the US.

Required technical and professional expertise

• Deep Expertise in Data Platforms: Proven experience in planning, designing, managing, and implementing core components of data platforms, Snowflake, Databricks and Digital Insights Platforms, to deliver significant business improvements for clients.

• Experience with Cloud-Based Solutions: Skilled in creating solutions in virtualized and cloud-based environments, including both hosted and on-premise solutions, leveraging expertise in architecture, data lake, design, and implementation.

• Proficiency in Solution Architecture: Experienced in providing expert architecture, design, and implementation support for solutions in complex environments, ensuring seamless integration and effective solution delivery.

• Experience in Implementation and Integration: Proven ability to plan, manage, and implement core components of data platforms, ensuring successful integration with existing systems and infrastructure.

• Strong Understanding of Business Transformation: Experienced in delivering lasting business improvements for clients through the implementation of data platforms and Watson Service Offerings, driving business transformation and growth.

Preferred technical and professional experience

• Data Lake Expertise: Deep understanding of data lake architecture and design, with experience in implementing data lakes in virtualized and cloud-based environments, including both hosted and on-premise solutions.

• Virtualization Knowledge: Familiarity with virtualization technologies and their application in data platform solutions, ensuring seamless integration and effective solution delivery.

• Cloud Solution Development: Experience with developing cloud-based solutions, leveraging expertise in architecture, design, and implementation to deliver significant business improvements for clients.

• Snow Pro Certification

• Databricks Certification

• Claude Certifications

• OpenAI Certification

• Industry expertise in High Tech, Energy, Utilities, Manufacturing, Product.

IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.