Cloud Solution Architecture

Microsoft

6d

About The Position

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.
With over 17,000 employees worldwide, the mission of the Customer Experience & Success (CE&S) organization is to empower customers to accelerate business value through differentiated customer experiences that leverage Microsoft’s products and services, ignited by our people and culture. Come join CE&S and help us build a future where customers achieve their business outcomes faster with technology that does more.
The Global Customer Success (GCS) organization is leading the effort to create the desired customer experience through support offer creation, driving digital transformation across our tools, and delivering operational excellence across CE&S.

As a Cloud Solution Architect aligned to the Azure Analytics platform for Microsoft's Customer Experience & Success (CE&S) organization, you will enable customers to achieve their outcomes based on their investments in Microsoft technology. Leveraging your Microsoft Azure Fabric, Azure Databricks and Power BI technical subject matter expertise, you will lead technical conversations with customers and Microsoft colleagues, driving value to their organization. This is a hands-on role that includes accelerating customer adoption by building Analytics solutions and identifying resolutions to unblock customer success projects for the Analytics Factory. You will also drive product influence with Engineering through technical feedback via the Factory and increase technical intensity with the Field account teams. This opportunity will allow you to accelerate your career growth, honing your technical and program management skills, and deepen your cloud expertise.
The Microsoft Customer Experience & Success (CE&S) organization is responsible for the strategy, design, and implementation of Microsoft’s end-to-end customer experience. Come join CE&S and help us build a future where customers come to us not only because we provide industry-leading products and services, but also because we provide differentiated and connected customer experience.
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.
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.

Requirements

• 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 Business Applications consulting OR equivalent experience.
• Enterprise-scale technical experience and depth with one or more areas of the Azure Analytics ecosystem (Power BI, Microsoft Fabric, Azure Synapse analytics, Azure Analysis Services, Azure Databricks, Azure Data Lake, Azure data factory) (required)
• 3+ years working with large Enterprise customers and field communities in consulting or similar roles, leading deployment projects, architecture, design, implementation of Data or Analytics based solutions OR: 3+ years of experience in building products and services as part of Engineering teams in engineering positions (required)​

Nice To Haves

• Hands-on experience with data warehousing, big data, analytics workloads (Azure or equivalent) and semantic model development with knowledge of key differentiation to determine best fit for use cases and applications
• Knowledge of Business Intelligence and design and build of Advanced Analytics and Big Data solutions
• Knowledge and understanding of all pillars of Data & AI – Data (RDBMS, NoSQL), Analytics, and AI/ML
• Experience with design and creation of technical assets, such as solution accelerators, GitHub repositories
• Hands on experience creating analytics-based solutions for customers ​that lead to production deployments, and optimization of those deployments
• Experience with DAX, T-SQL, PowerShell, C# (in the context of PBI/AS programming), Python (preferable)
• Familiarity with Devops, IaC, DataOps for analytics workloads(preferred)
• Familiarity with Agentic AI application in analytics workloads(preferred)
• Breadth of technical experience and knowledge (preferred):
• Product architecture, solution optimization
• Enterprise governance and related processes
• Product deployment and user adoption
• Application development skills, scripting, deployment automation
• Experience working with structured and unstructured data in Big Data scenarios using technologies such as Synapse, Snowflake, Big Query, Redshift, Databricks, Fabric and data lake concepts
• Database architecture
• Production level expertise, preferably in a services or product engineering role
• Competitive Landscape: Knowledge of data platforms such as AWS, GCP, Oracle, IBM, Snowflake, etc. (preferred):

Responsibilities

• Customer-Centric Approach: Play a pivotal role in the Analytics Factory, providing technical enablement, operational support, and strategic engagement across customer projects. This role is designed to ensure successful delivery of Azure Analytics and Data solutions, troubleshoot complex issues, and support innovation through pilot evaluations and advanced use case development. Understand customers' overall data estate, business priorities, and IT success measures.
• Facilitate scalable delivery through strong technical program management utilizing a factory model/approach, driving program awareness and demand across the regional operating units. Attend in-flight project status meetings to monitor progress and identify support needs. Engage directly with complex or non-standard customer use cases beyond existing accelerators. Participate in intake reviews for milestone sizing, objection handling, and technical scoping.
• Ensure Solution Excellence: Deliver solutions with high performance, security, scalability, maintainability, repeatability, reusability, and reliability upon deployment. Gather insights from customers and partners.
• Business Impact: Drive Consumption Growth: Develop opportunities to enhance Customer Success and help customers extract value from their Microsoft investments.
• Operational Awareness: Understanding of consumption metrics and their reflection on program effectiveness. Ability to collaborate with local teams for nominations and intake support.
• Unblock Customer Challenges: Leverage subject matter expertise to identify resolutions for customer blockers. Follow best practices and utilize repeatable IP.
• Identify and contribute repeatable IP and assets that create velocity in deployment and drives customer value from their Unified investment. Continuously look to improve upon these assets utilizing the best of field inputs. Evaluate pilot opportunities for potential integration into existing offerings.
• Architect Analytics Solutions: Apply technical knowledge to design solutions aligned with business and IT needs. Create Innovate with AI roadmaps, lead POCs and MVPs, and ensure long-term technical viability.
• Technical Leadership: Advocate for Customers: Share insights and best practices, collaborate with the Factory team to address key blockers, and influence improvements, roadmap and feature prioritization.
• Resolve technical blockers: Debug technical issues and provide fixes for engagements encountering blockers.
• Continuous Learning: Stay updated on market trends, collaborate with the technical community, and educate customers about the Azure Data and Analytics platform.
• Accelerate Outcomes: Through engaging with field teams, share expertise, drive factory pipeline, and promote Factory to accelerate customer success, as well as collate feedback upon execution to drive improvement and leverage field teams inputs.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 5,001-10,000 employees