Solution Engineer – Data

Overview

In this role you help customers modernise data estates and unlock value through AI and the Microsoft Data & AI platform. You will work with cross-functional teams to design scalable cloud, data, and AI solutions that enable migration, modernisation, and AI-grounded decision-making. You’ll engage executives and technical stakeholders, showcasing platform capabilities and driving measurable outcomes. This position offers exposure to leading organisations and opportunities to shape enterprise data & analytics architectures.

Responsibilities

• Lead strategic customer engagements to modernise data, analytics, and AI platforms for business outcomes
• Act as a trusted technical advisor translating business challenges into scalable cloud/data/AI solutions
• Design and deliver demos, workshops, architecture reviews, and PoC engagements
• Collaborate with sales, customer success, engineering, and partners to accelerate transformation
• Guide customers in adopting modern data platforms, governance, and AI-enabled experiences
• Build relationships with technical and business stakeholders to influence decisions
• Contribute to competitive strategies, technical readiness, and solution innovation
• Mentor peers and contribute to technical communities to foster continuous learning and inclusion

Key requirements

• Bachelor’s degree in Computer Science, Engineering, IT, Data Science, or related discipline or equivalent practical experience
• Experience in pre-sales, solution architecture, consulting, data engineering, analytics, or cloud tech roles
• Experience designing or implementing enterprise-scale data, database, and analytics solutions
• Experience engaging with technical and business stakeholders in customer-facing environments

• Strong communication of complex concepts to diverse audiences
• Collaborative and influential stakeholder management
• Problem-solving oriented with customer obsession
• Experience with SQL Server, Azure SQL, Azure Database for PostgreSQL, Cosmos DB
• Database migration and modernization tooling, estate assessment, heterogeneous migrations
• End-to-end analytics with Microsoft Fabric (Lakehouse/Warehouse, Data Factory, Spark/notebooks, semantic models, Power BI, Real-Time Intelligence)

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