National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Cloud Solution Architect - (Cosmos / OSS / SQL)

Microsoft
Reading
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Solutions Architect

Solutions Architect (AI)

Data Engineer

Data Engineer (Databricks Champion)

Data Engineer (Databricks Champion)

Data Scientist -UAE National, AWS Generative AI Innovation Center

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

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

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

Industry Insights

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

How to Find Hidden Machine Learning Jobs in the UK Using Professional Bodies like BCS, Turing Society & More

Machine learning (ML) continues to transform sectors across the UK—from fintech and retail to healthtech and autonomous systems. But while the demand for ML engineers, researchers, and applied scientists is growing, many of the best opportunities are never posted on traditional job boards. So, where do you find them? The answer lies in professional bodies, academic-industry networks, and tight-knit ML communities. In this guide, we’ll show you how to uncover hidden machine learning jobs in the UK by engaging with groups like the BCS (The Chartered Institute for IT), Turing Society, Alan Turing Institute, and others. We’ll explore how to use member directories, CPD events, SIGs (Special Interest Groups), and community projects to build connections, gain early access to job leads, and raise your professional profile in the ML ecosystem.

How to Get a Better Machine Learning Job After a Lay-Off or Redundancy

Redundancy in machine learning can feel especially frustrating when your role was technically advanced, strategically important, or AI-facing. But the UK still has strong demand for machine learning professionals across fintech, healthtech, retail, cybersecurity, autonomous systems, and generative AI. Whether you're a research-oriented ML engineer, production-focused MLOps developer, or applied scientist, this guide is designed to help you bounce back from redundancy and find a better opportunity that suits your goals.

Machine Learning Jobs Salary Calculator 2025: Figure Out Your True Worth in Seconds

Why last year’s pay survey is useless for UK ML professionals today Ask a Machine Learning Engineer wrangling transformer checkpoints, an MLOps Lead firefighting drift alarms, or a Research Scientist training diffusion models at 3 a.m.: “Am I earning what I deserve?” The honest answer changes monthly. A single OpenAI model drop doubles GPU demand, healthcare regulators release fresh explainability guidance, & a fintech unicorn pays six figures for vector‑search expertise. Each shock nudges salary bands. Any PDF salary guide printed in 2024 now looks like an outdated Jupyter notebook—missing the gen‑AI tsunami, the surge in edge inference, & the UK’s new Responsible‑AI framework. To give ML professionals an accurate benchmark, MachineLearningJobs.co.uk distilled a transparent, three‑factor formula that estimates a realistic 2025 salary in under a minute. Feed in your discipline, UK region, & seniority; you’ll receive a defensible figure—no stale averages, no guesswork. This article unpacks the formula, highlights the forces driving ML pay skyward, & offers five practical moves to boost your value inside the next ninety days.