Cloud Solutions Architect - Azure Data & AI Solutions

Microsoft • Atlanta, GA

2d • $106,400 - $222,600

About The Position

Microsoft’s Customer Experience and Success organization is seeking a Cloud Solutions Architect focused on Azure Data and AI solutions. The role centers on driving adoption of Databricks solutions on the Microsoft platform and helping customers and partners achieve business outcomes from their Microsoft technology investments. The architect applies deep technical expertise across Databricks and Azure Data, Infrastructure, and AI services to lead technical discussions, remove blockers, and accelerate consumption.

The position combines customer-facing technical leadership, enterprise architecture, solution delivery, and partner enablement. The architect works with Cloud Solution Architects, Customer Success Account Managers, Engineering, and Partner Development teams, as well as Microsoft Sales, Product, and Databricks, to deliver measurable customer and partner outcomes. The role also develops reusable architectures and technical guidance, shares field insights, maintains technical currency, and contributes to a culture of learning and collaboration.

Requirements

• Bachelor’s degree in Computer Science, Information Technology, Engineering, Business, or a related field and at least 4 years of experience in cloud/infrastructure technologies, IT consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or consulting; or equivalent experience.
• Must have authorization to work in the United States that does not now or in the future require employer sponsorship; this position is not eligible for visa sponsorship.
• Demonstrated experience designing and deploying enterprise-scale Azure solutions, including Azure Databricks, Microsoft Fabric, Azure Data Lake Storage, Azure Synapse Analytics, Azure AI Services, and Azure Machine Learning, for data engineering, analytics, machine learning, and Generative AI workloads.
• Experience building and modernizing data platforms, including data lakes, data warehouses, streaming architectures, and advanced analytics environments.
• Success in customer-facing architecture, consulting, technical sales, customer success, or solution delivery roles supporting complex enterprise transformations.
• Understanding of cloud architecture and operational excellence, including security, identity, networking, governance, reliability, scalability, and performance optimization.
• Experience engaging executive stakeholders, technical decision-makers, architects, and engineering teams to drive strategic outcomes.
• Understanding of digital transformation, cloud platforms, and emerging Data and AI technologies, and ability to translate technology capabilities into business value.
• Ability to lead design, implementation, modernization, or support of large-scale distributed applications, data platforms, and analytics solutions.
• Excellent communication, presentation, collaboration, and stakeholder management skills.
• Ability to use listening techniques and thoughtful questions to understand customer and partner needs, business drivers, operating environments, and root issues.
• Ability to demonstrate self-awareness, interpret verbal and non-verbal cues, and adapt conversations to business context, audience needs, and engagement dynamics.
• Ability to build trust and credibility and use relationship mapping across account teams and customer stakeholders.
• Ability to describe the five pillars of the Well-Architected Framework and how they interconnect, apply Cloud Adoption Framework principles in cloud strategy and architecture discussions, and summarize the relationship, commonalities, and differences between the frameworks.
• Ability to apply design thinking to create architectures that deliver customer value while incorporating policies, governance requirements, and existing customer systems.

Nice To Haves

• Databricks Certified Data Engineer Professional, Microsoft Certified: Azure Databricks Data Engineer Associate (DP-750), or equivalent certification.

Responsibilities

• Serve as a trusted technical advisor to Databricks, customers, and partners, helping them realize business value from Microsoft Azure and Databricks investments.
• Lead architecture reviews, technical strategy discussions, proofs of concept, and production deployments for Data, Analytics, AI, and modernization solutions.
• Identify and resolve technical blockers affecting deployment, scalability, adoption, or customer success.
• Drive Azure consumption, Databricks adoption, and customer success metrics across assigned accounts and partner engagements.
• Collaborate with partner technical and sales teams to identify growth opportunities and expand adoption of Microsoft Data, Analytics, and AI solutions.
• Help partners develop and scale differentiated solutions and services that accelerate customer value realization and cloud adoption.
• Guide customers and partners in applying best practices for security, governance, reliability, performance, and operational excellence.
• Lead technical assessments and workload modernization initiatives that accelerate cloud transformation and solution adoption.
• Drive successful implementation and operationalization of enterprise-scale data, analytics, and AI solutions.
• Address complex technical challenges and provide guidance that improves deployment velocity, solution quality, and customer outcomes.
• Support production readiness, operational excellence, and long-term platform success through technical leadership and proactive engagement.
• Design, validate, and optimize enterprise-scale architectures using Databricks, Azure Data Services, AI Services, and cloud-native technologies.
• Drive architectural reviews and strategic technology assessments for high-impact customer and partner engagements.
• Develop reusable intellectual property, reference architectures, technical guidance, and deployment accelerators to improve scalability and repeatability.
• Influence technology roadmaps and platform decisions through architectural leadership, industry knowledge, and customer insights.
• Maintain deep expertise in Databricks, Azure, Data and AI technologies, industry trends, and competitive offerings.
• Contribute technical thought leadership through customer success stories, best practices, and technical guidance.
• Collaborate with Databricks and Microsoft Sales, Customer Success, Engineering, Product, and Partner teams to drive customer success and adoption at scale.
• Lead virtual and cross-functional teams to address complex technical challenges and deliver integrated solutions.
• Represent Microsoft and Databricks in customer engagements, executive briefings, industry events, technical communities, and field enablement activities.
• Build stakeholder relationships to align technical strategies with business priorities and customer objectives.
• Share customer and partner insights with Product and Engineering teams to influence product strategy, roadmap priorities, and continuous improvement.
• Maintain technical currency through continuous skilling, certifications, and hands-on experience with emerging cloud, Data, and AI technologies.
• Pursue learning opportunities and share expertise across teams.
• Develop and contribute best practices, reusable assets, and technical enablement materials that improve field effectiveness and customer success.
• Foster innovation, collaboration, and continuous improvement through mentorship, knowledge sharing, and technical leadership.
• Embody Microsoft’s culture and values.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level