Microsoft

Cloud Solutions Architect - Azure Data & AI Solutions

Microsoft • $106K — $203K *
Charlotte, NC 28269In-Person
Information Technology
Less than 5 years of experience
Today
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Job Overview by Ladders

Qualifications

  • Bachelor's Degree in Computer Science, IT, Engineering, Business, or related field; OR equivalent experience with 4+ years in cloud technologies or IT consulting.
  • Deep expertise in Databricks, Azure Data Services, and AI platforms with relevant certifications preferred.
  • Strong background in building modern data platforms including lakes, warehouses, and analytics environments.
  • Proven success in customer-facing roles supporting complex enterprise transformations.
  • Excellent communication and stakeholder management skills.

Responsibilities

  • Serve as a technical advisor helping customers leverage Microsoft Azure and Databricks investments.
  • Lead architecture reviews and provide strategic technical guidance to enhance product adoption.
  • Resolve technical blockers that hinder deployment and customer success outcomes.
  • Drive consumption metrics and customer success across assigned accounts.
  • Collaborate with technical teams to identify growth opportunities in data, analytics, and AI solutions.
  • Guide partners in implementing best practices for operational excellence and cloud adoption.

Benefits

  • Continuous learning opportunities for skill development and technical certifications.
  • Mentorship and knowledge sharing culture fostering innovation and collaboration.
  • Access to technical enablement materials and best practices to improve field effectiveness.
Full Job Description
Responsibilities

Customer Success Leadership & Business Outcomes
  • 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 to accelerate adoption of Data, Analytics, AI, and modernization solutions.
  • Identify and resolve technical blockers impacting deployment, scalability, adoption, or customer success outcomes.
  • 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.

Solution Enablement & Technical Delivery
  • Guide customers and partners in implementing 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.

Technical Architecture & Industry Expertise
  • Design, validate, and optimize enterprise-scale architectures leveraging 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 (IP), 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 & AI technologies, industry trends, and competitive offerings.
  • Contribute technical thought leadership through customer success stories, best practices, and technical guidance.

Cross-Functional Collaboration & Partner Ecosystem
  • Collaborate with Databricks, 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 during customer engagements, executive briefings, industry events, technical communities, and field enablement activities.
  • Build strong relationships across stakeholders 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 initiatives.

Operational Excellence & Continuous Learning
  • Maintain technical currency through continuous skilling, certifications, and hands-on experience with emerging cloud, Data, and AI technologies.
  • Demonstrate a growth mindset by proactively pursuing learning opportunities and sharing expertise across teams.
  • Develop and contribute best practices, reusable assets, and technical enablement materials that improve field effectiveness and customer success.
  • Foster a culture of innovation, collaboration, and continuous improvement through mentorship, knowledge sharing, and technical leadership.

Other
  • Embody our culture and values.


Qualifications

Required :
  • Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, or related field AND 4+ years 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

Other Requirements:
  • This position is not eligible for visa sponsorship. Candidates must have authorization to work in the United States that does not now or in the future require employer sponsorship.

Preferred:
  • Deep expertise in Databricks and modern Data & AI platforms, with 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-to support data engineering, analytics, machine learning, and Generative AI workloads; relevant certifications such as Databricks Certified Data Engineer Professional, Microsoft Certified: Azure Databricks Data Engineer Associate (DP-750), or equivalent are preferred.
  • Strong background in building and modernizing data platforms, including data lakes, data warehouses, streaming architectures, and advanced analytics environments.
  • Demonstrated success in customer-facing architecture, consulting, technical sales, customer success, or solution delivery roles, supporting complex enterprise transformations.
  • Solid understanding of cloud architecture and operational excellence, including security, identity, networking, governance, reliability, scalability, and performance optimization.
  • Experience influencing and engaging with executive stakeholders, technical decision-makers, architects, and engineering teams to drive strategic outcomes.
  • Deep understanding of digital transformation trends, cloud platforms, and emerging Data & AI technologies, with the ability to translate technology capabilities into business value.
  • Proven ability to lead the design, implementation, modernization, or support of large-scale distributed applications, data platforms, and analytics solutions.
  • Excellent communication, presentation, collaboration, and stakeholder management skills.
  • Insightful listening: Uses cognitive and behavioral listening techniques, asks thoughtful questions to understand partner and customer needs, business drivers, and operating environments, and goes beyond surface-level responses to uncover root issues.
  • Situational fluency: Demonstrates self-awareness, interprets verbal and non-verbal cues, and adapts customer conversations based on the business context, audience needs, and engagement dynamics.
  • Relationship building and trusted advisership: Builds trust, establishes credibility, and uses relationship mapping across account teams and customer stakeholders to strengthen engagement quality and business impact.
  • Well-Architected Framework and Cloud Adoption Framework foundations: Describes the five pillars of the Well-Architected Framework, explains how they are interconnected, applies Cloud Adoption Framework principles in cloud strategy and architecture conversations, and summarizes the relationship, commonalities, and differences between the two frameworks.
  • Architecture design: Applies design thinking to create architectures that deliver customer value while incorporating policies, governance requirements, and existing customer systems into the overall solution framework.
  • Ability to meet Microsoft, customer and / or government security screening requirements are required for this role. These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire / transfer and every two years thereafter.


Cloud Solution Architecture IC4 - The typical base pay range for this role across the U.S. is USD $106,400 - $203,600 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $137,600 - $222,600 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:
https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

About Microsoft

Microsoft is an American multinational corporation that develops, manufactures, licenses, supports, and sells a range of software products and services. Microsoft’s devices and consumer (D&C) licensing segment licenses the Windows operating system and related software, Microsoft Office for consumers, and the Windows Phone operating system. The company’s computing and gaming hardware segment provides Xbox gaming and entertainment consoles and accessories, second-party and third-party video games, and Xbox Live subscriptions; surface devices and accessories; and Microsoft PC accessories. Its phone hardware segment offers Lumia smartphones and other non-Lumia phones. Its D&C segment provides Windows Store, Xbox Live transactions, and Windows phone store; search advertising; display advertising; Office 365 Home and Office 365 Personal; first-party video games; and other consumer products and services as well as operating retail stores. Microsoft’s commercial licensing segments license server products, including Windows Server, Microsoft SQL Server, Visual Studio, System Center, and related Client Access Licenses (CALs); Windows Embedded; Windows operating system; Microsoft Office for business, including Office, Exchange, SharePoint, Lync, and related CALs; Microsoft Dynamics business solutions; and Skype. Its commercial segment offers enterprise services, including premier support services and Microsoft consulting services; commercial cloud comprising Office 365 Commercial, other Microsoft Office online offerings, Dynamics CRM Online, and Microsoft Azure; and other commercial products and online services. The company markets and distributes its products through original equipment manufacturers, distributors, and resellers, as well as online.

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Learn more about Microsoft
Size
181,000 employees
Market Cap
$1,762.4 billion
Industry
Enterprise Technology
Net Income
$51.3 billion
Founded
1975
5 Year Trend
+15.5%
Revenue
$153.2 billion
NASDAQ
MSFT
* Ladders Estimates

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