Cloud Solution Architect Cloud & AI Data at Microsoft

Issy-les-Moulineaux, Ile-de-France, France -

Full Time

Start Date

Immediate

Expiry Date

03 Mar, 26

Salary

0.0

Posted On

03 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Cloud Technologies, Data Analytics, AI Technologies, Azure, Technical Program Management, Customer Engagement, Solution Architecture, Enterprise Solutions, Programming Languages, Big Data Migration, Machine Learning, Generative AI, Communication Skills, Creative Thinking, Active Listening, Technical Consulting

Industry

Software Development

Description

Customer Centricity Play a pivotal role in the Analytics & AI Factory, providing technical enablement, operational support, and strategic engagement across customer projects. This role is designed to ensure successful delivery of Data and Analytics 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. Understand customers' overall Data estate Business and IT priorities and success measures to design Data platforms that drive business value. 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. Customer Satisfaction - Drive positive Customer Satisfaction & become a trusted advisor. Ensure that solution exhibits high levels of performance, security, scalability, maintainability, repeatability, appropriate reusability, and reliability upon deployment. Customer/Partner Insights - Provide feedback & insights from customers/partners. Deliver according to MS best practices & using repeatable Intellectual Property (IP) Evaluate pilot opportunities for potential integration into existing offerings. Architect Solutions: Apply technical knowledge to design solutions aligned with business and IT needs. Ability to convey the business need and value of proposed solutions, plans, and risks to stakeholders and decision makers. 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 Be the Voice of Customer to share insights and best practices, connect with Engineering team to remove key blockers and drive product improvements. Learn It All - Maintain technical skills and knowledge, keeping up to date with market trends and competitive insights; collaborate and share with the AI technical community while educating customers on Azure platform. Accelerate customer outcomes - Share expertise, contribute to IP creation & re-use to accelerate customer outcomes. Embody our culture and values. 3 years technical pre-sales or technical consulting experience Experience in cloud/infrastructure technologies, with a specific focus on Data and Analytics technologies and good knowledge AI & Apps. Experience acquired from Partner, End customer Deep Domain Expertise in Azure Analytics & Database Areas: Domain expertise in one of the Azure Analytics & Database specific areas OR hands-on experience working with the respective products at the expert level. Cosmos DB, Mongo DB, PostgreSQL Architecting Enterprise-Grade Solutions: The ability to create and explain 3-tier architecture diagrams, system context diagrams, system interaction diagrams, etc. Proven experience building enterprise-grade, Analytics -focused solutions on the cloud (Azure, AWS, GCP, Snowflake, Databricks) for customers, from Minimum Viable Products (MVPs) leading to production deployments. Programming Languages and Integration: Knowledge with Spark, Python, C#, R, JavaScript, or similar programming languages in the context of application development, and ability to integrate Azure AI with other services (e.g., Azure Functions, Azure Container Apps, Docker, API Management). Proficient on data warehouse & big data migration including on-prem appliance (Teradata, Netezza, Oracle), Hadoop (Cloudera, Hortonworks) ML & ML Ops, knowledge on GenAI Apps & LLM Ops Generative AI and Responsible AI: Knowledge of current and emerging AI technology, including Generative AI technology applications and use cases (including, but not limited to, Large Language Models) and Foundational models toolsets. Also, knowledge including ethical considerations, bias mitigation, and fairness. Competitive Landscape: Understanding the competitive landscape is valuable, candidates should be aware of key Analytics platforms beyond Azure, such as AWS and GCP Soft Skills are also critical to be successful in that job : Creative Thinking, Active Listening, oral and written communication more particularly

Responsibilities

The Cloud Solution Architect will provide technical enablement and operational support for customer projects, ensuring successful delivery of Data and Analytics solutions. They will engage with customers to understand their data estate and business priorities, facilitating scalable delivery through strong technical program management.