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Are you ready to join our Data & AI team and help customers maximise the value of their data? As a Cloud Solution Architect (CSA) for Data & Analytics, you’ll work closely with clients to deliver practical, scalable solutions that drive business transformation through modern data platforms, advanced analytics, and cloud-native architectures. In this role, you will serve as a Trusted Advisor to customers, building strong relationships and establishing credibility by providing expert guidance at every stage of their data journey.
Job Responsibility:
Build trusted relationships with IT executives and business leaders to shape their Data and Analytics strategy, acting as a technical advisor and champion for their success
Lead architectural design sessions and guide the implementation of secure, scalable, and resilient data solutions using Microsoft’s best practices (e.g., Cloud Adoption Framework, Well-Architected Framework)
Drive technical excellence across Azure Data workloads, ensuring mission-critical solutions are optimised for performance, security, and operational readiness
Accelerate customer outcomes by delivering repeatable IP, resolving technical blockers, and providing delivery oversight for key engagements
Inspire customer innovation by helping them adopt modern analytics and data engineering at scale, guiding them through their transformation journey
Actively contribute to Microsoft’s technical communities by mentoring peers, sharing insights, and serving as a spokesperson in internal and external forums
Demonstrate a growth mindset by continuously developing your skills, aligning with business priorities, and contributing to a culture of learning and excellence
Requirements:
Extensive hands-on experience architecting, building, and delivering cloud-native data platform and analytics solutions at production scale, leveraging Azure Data services (including Microsoft Fabric, Databricks, Azure Synapse, Azure Data Lake, etc.)
Proven ability to lead end-to-end delivery of data solutions to production, driving adoption through repeatable IP and alignment to defined business outcomes
Strong expertise in secure, resilient, and optimised architecture practices for data workloads, applying Microsoft Well-Architected Framework, data landing zones, and best practices for mission-critical solutions
Demonstrated excellence in communication and stakeholder management, with the ability to influence technical and business leaders, facilitate architectural design sessions, and drive consensus across diverse teams
Able to fluently communicate (written and verbal) in both Finnish and English
Nice to have:
Deep expertise in Microsoft Fabric, Databricks, Azure Synapse, Azure Data Factory, and event-driven/data streaming architectures for scalable and resilient distributed systems
Advanced proficiency with secure DevOps practices for data workloads, including GitHub, CI/CD, and data governance
Experience with data integration, ETL/ELT, and modern data engineering (e.g., pipelines, orchestration, automation)
Active contributions to technical communities, development of reusable IP, and experience mentoring or enabling peers in data and analytics domains
Proven experience coordinating partner ecosystems or programme delivery across multiple customer engagements, driving high-impact business outcomes and technical success at scale