Job Information
Microsoft Corporation Cloud Solution Architect Data & Analytics in Budapest, Hungary
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.
We are looking for a highly motivated Cloud Solution Architect (CSA), specializing in Data, Analytics & AI, who is passionate about driving our customers’ transformation on Microsoft Azure. This is a customer-facing role, owning the technical relationship between the customer and Microsoft, helping customers to leverage their Microsoft investments through architecture, and operational health engagements.
As a CSA, you'll enjoy unparalleled access to enterprise companies, serving as a vital bridge between cutting-edge technology and business success. This opportunity will allow you to work on a variety of innovative projects by guiding customers through their data platform modernization journey to Azure, capture analytics market share with Azure Fabric & Azure Databricks and support customers on the adoption of generative AI and build innovative, safe, and performant AI-based solutions.
This role is flexible in that you can work up to 50% from home.
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
You will guide customers through their data platform modernization journey to Azure, highlighting the opportunity to innovate and get AI-ready.
Capturing Analytics market share with Azure Fabric & Azure Databricks based on customer use cases.
Support customers on the adoption of generative AI and build innovative, safe and performant AI-based solutions on top of a solid foundation of data and infrastructure.
You will understand customers’ overall data estate Business and IT priorities and success measures to design Data & Analytics solutions that drive business value and drive positive Customer Satisfaction & become a trusted advisor.
You will ensure that solution exhibits high levels of performance, security, scalability, maintainability, repeatability, appropriate reusability, and reliability upon deployment and provide feedback and insights from customers/partners.
You will develop opportunities to drive Customer Success business results & help Customers get value from their Microsoft investments and identify resolutions to Customer blockers by leveraging SA subject matter expertise. Deliver according to MS best practices & using repeatable Intellectual Property (IP).
You will apply technical knowledge to architect and design solutions that meet business and IT needs, create Data & Analytics roadmaps, drive Proof of Concepts (POC) and Minimal Viable Product (MVP), and ensure long term technical viability of new deployments, infusing key AI technologies where
You will be the Voice of Customer to share insights and best practices, connect with Engineering team to remove key blockers and drive product improvements.
You will maintain technical skills and knowledge, keep up to date with market trends and competitive insights; collaborate and share with the AI technical community while educating customers on Azure platform.
You will accelerate customer outcomes - Share expertise, contribute to IP creation & re-use to accelerate customer outcomes and obtain relevant accreditations and certifications.
Qualifications
Required Qualifications (RQs)
Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, or related field AND solid experience in Data & Analytics & AI 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
As this role requires collaboration with local customers in Hungary, fluency in Hungarian is required.
Preferred Qualifications (PQs)
Bachelor's or Master's Degree in Computer Science, Information Technology, Engineering, Business, or related field AND extensive 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
Solid experience working in a customer-facing role (e.g., internal and/or external) and working on technical projects
Business Value: The ability to convey the business needs and value of proposed solutions, plans, and risks to stakeholders and decision makers. This includes the ability to persuade and inform based on facts and alignment with goals and strategy.
Trusted Advisership: The ability to build trusted advisor status and deep relationships across stakeholders (e.g., technical decision makers, business decision makers) through an understanding of customer needs and technologies.
Situational fluency: Using self-awareness as a mechanism to interpret verbal and non-verbal cues to increase your ability to "read the room."
Insightful listening: asking insightful questions to understand the customer needs, issues, business environment and drivers, and going beyond what customer has said.
Preferred Technical Qualifications
Technical Certification in Cloud (e.g., Azure, Amazon Web Services, Google, Databricks)
Demonstrable hands-on experience with either relational or NoSQL databases (Azure or equivalent), with a strong portfolio of creating Data & Analytics Minimum Viable Products (MVPs) for customers that lead to production deployments and their subsequent optimization.
Experience in migrations across database technologies (SQL Server, OSS DBs) and/or modernization from on-premises to the cloud.
Experience in handling structured and unstructured data in Big Data scenarios using technologies such as Fabric Data Warehouse, Snowflake, Big Query, Redshift, and data lake concepts.
Proficiency in development languages such as Python, R,…
Technical knowledge on LLM, SLM, RAG, …
Microsoft is an equal opportunity employer. Consistent with applicable law, all qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations (https://careers.microsoft.com/v2/global/en/accessibility.html) .