Cloud Solution Architect - (Cosmos / OSS / SQL)

Microsoft
Reading
11 months ago
Applications closed

Related Jobs

View all jobs

Senior Solution Architect (Enterprise Systems)

Solutions Architect - Applications, DevOps - eCommerce, Shopify

Salesforce Health Cloud Expert

Technical Pre-sales Consultant

Senior Data Scientist / AI Engineer

Azure Data Architect

Overview

With over 18,000 employees worldwide, 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 a differentiated and connected customer experience.

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.


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 a differentiated and connected customer experience.

As a Cloud Solution Architect, you will enable customers to achieve their outcomes, based on their investments in Microsoft technology. Leveraging your Microsoft Azure technical subject matter expertise, you will lead technical conversations with customers and Microsoft colleagues, to drive value from their MS investments. This includes accelerating customer adoption by building solutions and identifying resolutions to issues impeding customer success projects. You will also drive product influence with Engineering and increase technical intensity in the field. This opportunity will allow you to accelerate your career growth, honing your technical and collaboration skills, and deepening your cloud expertise. 


This role is flexible in that you can work up to 100% 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.

Qualifications

Minimum Qualfiications:

Bachelor’s degree in computer science, Information Technology, Engineering, Business or related field AND experience 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 experience in building products and services as part of Engineering teams in engineering positions.

Additional or Preferred Qualifications:

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.

Technical:

Breadth of technical experience and knowledgein foundational security, foundational AI, architecture design, with depth / Subject Matter Expertisein one or more of the following: Enterprise-scale technical experience and depth with one or more areas of the Azure data platform: Azure SQL, Azure Cosmos DB, Azure Database for PostgreSQL, Azure Database for MySQL, or equivalent (required)Hands-on experience with relational and NoSQL databases (Azure or equivalent), and experience creating Data & Analytics Proof of Concepts (PoC), Minimum Viable Products (MVPs) for customers that lead to production deployments and optimization of those deploymentsMigrations across SQL Server, OSS, NoSQL database technologies, modernization from on-prem to the cloud, experience working with structured and unstructured data in Big Data scenarios using technologies such as Fabric Data Warehouse, Snowflake, Big Query, Redshift and data lake conceptsDatabase architecture, application development skills, scripting, deployment automation, performance tuning and optimization, high availability / disaster recovery and debugging database related issuesCompetitive Landscape: Knowledge of key Data & Analytics platforms such as AWS, GCP, Snowflake, etc.

Responsibilities

Customer-Centric Approach:

Understand customers' overall data estate, business priorities, and IT success measures. Innovate with AI infused analytic solutions that drive business value. Prioritize Customer Satisfaction: Foster positive relationships and become a trusted advisor. 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. Unblock Customer Challenges: Leverage subject matter expertise to identify resolutions for customer blockers. Follow best practices and utilize repeatable IP. Architect modern Data & Analytics Solutions: Apply technical knowledge to design solutions aligned with business and IT needs. Create modernized Data & Analytics platform solutions with infused AI, lead POCs and MVPs, and ensure long-term technical viability.

Technical Leadership:

Advocate for Customers: Share insights and best practices, collaborate with the Engineering team to address key blockers, and drive product improvements. Continuous Learning: Stay updated on market trends, collaborate with the Data, Analytics and AI technical community, and educate customers about the Azure platform. Accelerate Outcomes: Share expertise, contribute to IP creation, and promote reusability to accelerate customer success.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.Industry leading healthcareEducational resourcesDiscounts on products and servicesSavings and investmentsMaternity and paternity leaveGenerous time awayGiving programsOpportunities to network and connect

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Top 10 Mistakes Candidates Make When Applying for Machine-Learning Jobs—And How to Avoid Them

Landing a machine-learning job in the UK is competitive. Learn the 10 biggest mistakes applicants make—plus tested fixes, expert resources and live links that will help you secure your next ML role. Introduction From fintechs in London’s Square Mile to advanced-research hubs in Cambridge, demand for machine-learning talent is exploding. Job boards such as MachineLearningJobs.co.uk list new vacancies daily, and LinkedIn shows more than 10,000 open ML roles across the UK right now. Yet hiring managers still reject most CVs long before interview—often for avoidable errors. Below are the ten most common mistakes we see, each paired with a practical fix and a live resource link so you can dive deeper.

Top 10 Best UK Universities for Machine Learning Degrees (2025 Guide)

Explore ten UK universities that deliver world-class machine-learning degrees in 2025. Compare entry requirements, course content, research strength and industry links to find the programme that fits your goals. Machine learning (ML) has shifted from academic curiosity to the engine powering everything from personalised medicine to autonomous vehicles. UK universities have long been pioneers in the field, and their programmes now blend rigorous theory with hands-on practice on industrial-scale datasets. Below, we highlight ten institutions whose undergraduate or postgraduate pathways focus squarely on machine learning. League tables move each year, but these universities consistently excel in teaching, research and collaboration with industry.

How to Write a Winning Cover Letter for Machine Learning Jobs: Proven 4-Paragraph Structure

Learn how to craft the perfect cover letter for machine learning jobs with this proven 4-paragraph structure. Ideal for entry-level candidates, career switchers, and professionals looking to advance in the machine learning sector. When applying for a machine learning job, your cover letter is a vital part of your application. Machine learning is an exciting and rapidly evolving field, and your cover letter offers the chance to demonstrate your technical expertise, passion for AI, and your ability to apply machine learning techniques to solve real-world problems. Writing a cover letter for machine learning roles may feel intimidating, but by following a clear structure, you can showcase your strengths effectively. Whether you're just entering the field, transitioning from another role, or looking to advance your career in machine learning, this article will guide you through a proven four-paragraph structure. We’ll provide practical tips and sample lines to help you create a compelling cover letter that catches the attention of hiring managers in the machine learning job market.