
Cloud Solution Architect (Data & Analytics)
Microsoft · Spain
- Hybrid
- Full-time
- $150,000 / year
- Spain
Job highlights
- Drive customer transformation on Microsoft Azure.
- Own the technical customer relationship.
- Design modern data and analytics solutions.
- Leverage expertise in Azure Databricks and Fabric.
- Foster trusted advisor relationships with clients.
About the role
Cloud Solution Architect Data & Analytics
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.
We're actively seeking a Cloud Solution Architect (CSA) who specializes in Azure Data, Analytics & AI services and solutions. As a CSA, you'll be at the forefront of driving our customers' transformation on Microsoft Azure. This customer-facing role involves owning the technical relationship between the customer and Microsoft. Your mission: help customers unlock the full potential of their Microsoft investments through architecture, implementation, and operational health engagements.
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
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.
Qualifications
Required/Minimum Qualifications
- Bachelor’s degree in computer science, Information Technology, Engineering, Business or related field and 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.
Additional Or Preferred Qualifications (PQs)
- 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 Knowledge In Foundational Security, Foundational AI, Architecture Design, With Depth / Subject Matter Expertise In One Or More Of The Following:
- Enterprise-scale experience with Azure Databricks, including Spark, Delta Lake, and Unity Catalog for scalable data engineering and transformation
- Hands-on experience with Microsoft Fabric, including OneLake, Fabric Lakehouse, Fabric Data Warehouse, and Real-Time Intelligence (RTI) components
- Proven ability to design and deliver Advanced Analytics and Big Data architectures within Microsoft Fabric and Azure ecosystems
- Deep understanding of data modeling, data warehousing, and distributed data architectures
- Proficiency in Python, SQL, PowerShell, and Infrastructure as Code for automation and integration
- Strong understanding of data governance, security, and compliance best practices in cloud data environments
- Awareness of competitive data platforms such as AWS (Redshift, Glue, EMR), GCP (BigQuery, DataProc), and Snowflake
This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. 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 with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.
Key skills/competency
- Cloud Solution Architect
- Data & Analytics
- Azure Databricks
- Microsoft Fabric
- AI
- Big Data Architectures
- Data Modeling
- Python
- SQL
- Infrastructure as Code
Skills & topics
- Cloud Solution Architect
- Data Architecture
- Analytics
- AI
- Azure
- Databricks
- Microsoft Fabric
- Big Data
- Data Engineering
- Cloud Computing
How to get hired
- Tailor your resume: Highlight Azure, Data, Analytics, and AI expertise. Quantify achievements.
- Craft a compelling cover letter: Connect your skills to Microsoft's mission and CE&S goals.
- Showcase technical depth: Emphasize experience with Azure Databricks, Microsoft Fabric, and related technologies.
- Demonstrate business acumen: Highlight your ability to translate technical solutions into business value.
- Prepare for interviews: Be ready to discuss customer scenarios and problem-solving approaches.
Technical preparation
Behavioral questions
Frequently asked questions
- What is the Cloud Solution Architect (Data & Analytics) role at Microsoft focused on?
- The Cloud Solution Architect (Data & Analytics) role at Microsoft is focused on driving customer transformation using Azure Data, Analytics, and AI services. You will own the technical relationship, design solutions, and help customers maximize their Microsoft investments.
- What are the key technical skills required for the Cloud Solution Architect role at Microsoft?
- Key technical skills include enterprise-scale experience with Azure Databricks (Spark, Delta Lake, Unity Catalog), Microsoft Fabric components (OneLake, Lakehouse, Data Warehouse), advanced analytics, Big Data architectures, Python, SQL, PowerShell, and Infrastructure as Code.
- How important is customer relationship management for this role?
- Customer relationship management is crucial. The role requires fostering positive relationships, becoming a trusted advisor, understanding customer business priorities, and ensuring solution excellence to drive satisfaction and business value.
- What kind of projects will a Cloud Solution Architect work on at Microsoft?
- You will architect and deliver modern Data & Analytics platform solutions infused with AI, lead Proofs of Concept (POCs) and Minimum Viable Products (MVPs), and ensure the long-term technical viability of solutions for enterprise clients.
- Does Microsoft offer opportunities for continuous learning for Cloud Solution Architects?
- Yes, continuous learning is a key aspect. The role involves staying updated on market trends, collaborating with the technical community, and educating customers about the Azure platform and new AI advancements.
- What is the expected educational background for a Cloud Solution Architect at Microsoft?
- A Bachelor's degree in computer science, Information Technology, Engineering, Business, or a related field is typically required, along with experience in cloud technologies or equivalent experience.
- How does Microsoft CE&S support customer success?
- Microsoft CE&S empowers customers through differentiated experiences, drives cross-company alignment, and provides up-services including consulting, customer success, and support across Microsoft's portfolio, focusing on accelerating AI transformation.
- What does 'situational fluency' mean in the context of this Microsoft role?