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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 actively seeking a Cloud Solution Architect (CSA) who specializes in Azure Data, Analytics & AI services and solutions. As a CSA, you'll be at the forefront of driving our customers' transformation on Microsoft Azure. This customer-facing role involves owning the technical relationship between the customer and Microsoft. Your mission: help customers unlock the full potential of their Microsoft investments through architecture, implementation, and operational health engagements.
Job Responsibility:
Understand customers' overall data estate, business priorities, and IT success measures
Prioritize Customer Satisfaction: Foster positive relationships and become a trusted advisor
Ensure Solution Excellence: Deliver solutions with high performance, security, scalability, maintainability, repeatability, reusability, and reliability upon deployment
Drive Consumption Growth: Develop opportunities to enhance Customer Success and help customers extract value from their Microsoft investments
Unblock Customer Challenges: Leverage subject matter expertise to identify resolutions for customer blockers
Architect modern Data & Analytics Solutions: Apply technical knowledge to design solutions aligned with business and IT needs
Advocate for Customers: Share insights and best practices, collaborate with the Engineering team to address key blockers, and drive product improvements
Continuous Learning: Stay updated on market trends, collaborate with the Data, Analytics and AI technical community, and educate customers about the Azure platform
Accelerate Outcomes: Share expertise, contribute to IP creation, and promote reusability to accelerate customer success
Requirements:
Bachelor’s degree in computer science, Information Technology, Engineering, Business or related field and experience in cloud/infrastructure technologies, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or Business Applications consulting OR equivalent experience
Enterprise-scale experience with Azure Databricks, including Spark, Delta Lake, and Unity Catalog for scalable data engineering and transformation
Hands-on experience with Microsoft Fabric, including OneLake, Fabric Lakehouse, Fabric Data Warehouse, and Real-Time Intelligence (RTI) components
Proven ability to design and deliver Advanced Analytics and Big Data architectures within Microsoft Fabric and Azure ecosystems
Deep understanding of data modeling, data warehousing, and distributed data architectures
Proficiency in Python, SQL, PowerShell, and Infrastructure as Code for automation and integration
Strong understanding of data governance, security, and compliance best practices in cloud data environments
Awareness of competitive data platforms such as AWS (Redshift, Glue, EMR), GCP (BigQuery, DataProc), and Snowflake
Nice to have:
Business Value: The ability to convey the business needs and value of proposed solutions, plans, and risks to stakeholders and decision makers
Trusted Advisership: The ability to build trusted advisor status and deep relationships across stakeholders
Situational fluency: Using self-awareness as a mechanism to interpret verbal and non-verbal cues
Insightful listening: asking insightful questions to understand the customer needs, issues, business environment and drivers