Lead Cloud Solution Architect- Cloud AI & Data

Solutions Consulting & Engineering (SC&E) Team

The Solutions Consulting & Engineering team is customer-focused and solutions-led, delivering end-to-end and emerging solutions to enhance customer satisfaction, increase profitability, and foster growth.

Position Overview

As Lead Cloud Solution Architect, Cloud AI & Data, you will lead WWT's Cloud Data solutions, focusing on platforms and data transformation capabilities that drive client outcomes in analytics and AI. Your responsibilities include solution development, technical sales support, and sales enablement.

Key Responsibilities

• Identify and shape new Cloud Data solutions, bringing them to market and managing the P&L for the offering.

• Build and maintain sales enablement materials to support Solution Architects in running pursuits independently.

• Partner with business development managers on co-investment programs and provide technical input for securing funding.

• Collaborate with cloud migration, security, and infrastructure solution owners to integrate the offering into the broader WWT Cloud portfolio.

• Provide technical sales support and oversight for strategic pursuits, ensuring architectural soundness and delivery readiness.

• Work with practice leadership to prioritize capabilities for the Cloud Data offering based on client demand and competitive signals.

Qualifications

• 8+ years of experience in cloud data architecture on one or more major cloud platforms.

• Demonstrated ability to transform and migrate data from legacy and source systems into modern cloud data platforms.

• Experience in a consulting, systems integrator, or professional services environment, packaging and selling technical offerings to enterprise clients.

• Bachelor's degree in Computer Science, Information Systems, Engineering, Business, or equivalent practical experience.

• Excellent executive communication skills, able to present both business strategy and technical rationale effectively.

Preferred Skills

• Experience advising C-level executives on cloud data or AI strategy.

• Relevant certifications across AWS, Azure, GCP, Databricks, or Snowflake.

• Familiarity with low/no code data tooling such as Apache NiFi, Informatica, and AWS Glue.

• Personal experience using agentic AI tools in day-to-day technical work.

• Experience partnering with business development or alliance teams on co-investment programs.