Data Architect

Introduction

At IBM Global Sales, we bring together innovation, collaboration, and expertise to help clients solve their most complex business challenges. Working across industries and geographies, you’ll partner with colleagues, clients, and partners to co-create solutions that drive digital transformation and lasting impact. Success in Global Sales is built on curiosity, empathy, and collaboration. You’ll connect technical understanding with strong people skills, building trusted relationships and shaping solutions that improve business and society. With world-class onboarding, continuous learning, and a supportive culture, IBM offers the tools and opportunities to grow your career. Join us and be part of a global team that’s passionate about driving innovation and making a difference.

Your Role And Responsibilities

We are seeking a Data Architect to lead the design of end-to-end, enterprise data architectures that enable analytics, AI, and data-driven transformation across customer environments.

In this role, you will act as a trusted advisor, defining the architectural vision, target-state designs, and roadmaps for IBM data solutions. You will work closely with customers, sales manager, and presale engineers to translate business needs into scalable, secure, and future-ready data platforms across hybrid and multi-cloud environments.

Responsibilities

• Define data architecture vision, target-state, and roadmaps for customer environments
• Design enterprise-scale architectures for data warehouses, data lakes, lakehouse, and streaming platforms
• Architect data platforms to support analytics, AI, and generative AI use cases
• Act as a trusted advisor to customers on data modernization, governance, and AI readiness
• Ensure architectures align with security, governance, and regulatory requirements
• Guide implementation teams to ensure adherence to architectural standards
• Collaborate with Consulting, Sales, and Delivery teams on solution design and proposals
• Contribute to IBM reference architectures, standards, and reusable patterns

Preferred Education

Master's Degree

Required Technical And Professional Expertise

• Proven experience as a Data Architect in enterprise environments
• Strong knowledge of modern data architecture patterns and data modeling
• Experience with hybrid and multi-cloud architectures (OCP, GCP, AWS, Azure)
• Understanding of data governance, security, and compliance
• Ability to design data platforms supporting AI and analytics workloads
• Strong communication and stakeholder management skills

Preferred Technical And Professional Experience

• Experience with any of CassandraDB, Watsonx.data, Watsonx.data Integration, Watsonx.data Intelligence
• Familiarity with OpenShift-based data platforms
• Knowledge of data mesh, data fabric, and generative AI architectures
• Experience in large-scale data modernization or transformation programs

Key skills/competency

• Data Architecture Design
• Enterprise Data Solutions
• Analytics
• AI/Generative AI
• Hybrid Cloud
• Multi-Cloud
• Data Governance
• Data Modeling
• Cloud Platforms (AWS, Azure, GCP, OCP)
• Stakeholder Management