Data Cloud Solution Architect

Overview

With more than 45,000 employees and partners worldwide, the Customer Experience and Success (CE&S) organization is on a mission to empower customers to accelerate business value through differentiated customer experiences that leverage Microsoft’s products and services, ignited by our people and culture. We drive cross-company alignment and execution, ensuring that we consistently exceed customers’ expectations in every interaction, whether in-product, digital, or human-centered. CE&S is responsible for all up services across the company, including consulting, customer success, and support across Microsoft’s portfolio of solutions and products. Join CE&S and help us accelerate AI transformation for our customers and the world.

We’re looking for a Data Cloud Solution Architect who specializes in data platforms and analytics to help customers build secure, scalable, and AI-ready solutions on Microsoft Azure. In this customer-facing role, you’ll deliver engagements that span architecture design, proof of concepts, and production deployments, ensuring performance, resiliency, and security across mission-critical workloads. As part of the Cloud + AI Data team, you’ll leverage existing Repeatable IP and execution engines with accountability to drive delivery excellence, accelerate adoption, and ensure a successful deployment for the customer for services like Microsoft Fabric, Azure Databricks, Cosmos DB, and Purview. You’ll collaborate with engineering teams, share best practices, and stay current with evolving trends to help customers unlock the full value of their data and AI investments.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Responsibilities

• Engage with customer IT and business leaders in the Chemicals and Energy sector to understand their data estate, priorities, and success measures, and design secure, scalable Data & AI solutions that deliver measurable business value.
• Lead architecture design sessions, develop Data & Analytics roadmaps, and ensure deployments for your customers.
• Own the end-to-end technical delivery results, ensuring completeness and accuracy of consumption and customer success plans in collaboration with the CSAM (Customer Success Account Manager).
• Deliver repeatable intellectual property (IP) to achieve targeted outcomes, accelerate Azure Consumed Revenue (ACR), and contribute to centralized IP development initiatives.
• Provide delivery oversight and escalation support for key Factory engagements across Data & Analytics workloads.
• Drive technical excellence by leading the health, resiliency, security, and optimization of mission-critical data workloads, ensuring readiness for production-scale AI use cases.
• Identify and resolve technical blockers, share customer feedback with engineering teams, and influence product improvements through Voice of the Customer insights.
• Maintain deep technical expertise and stay current with market trends, competitive insights, and Microsoft’s evolving data and AI capabilities.
• Be accredited and certified to deliver with advanced and expert-level proficiency in priority workloads including Microsoft Fabric, Azure Databricks, Microsoft Purview, Azure SQL, PostgreSQL, MySQL, and Cosmos DB.
• Demonstrate a growth mindset by continuously aligning your skills to team and customer needs, contributing to technical communities, and mentoring others to accelerate customer outcomes.

Qualifications

• Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, or related field and proven experience in cloud/infrastructure technologies, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or consulting OR equivalent experience.
• Significant experience working in a customer-facing role with a focus on Data & AI.
• Proven experience working on technical projects.
• Technical Certification for Azure Data & AI.

Key skills/competency

• Azure
• Data Platforms
• AI Solutions
• Cloud Architecture
• Solution Design
• Microsoft Fabric
• Azure Databricks
• Microsoft Purview
• Customer Engagement
• Technical Consulting