Solution Engineer Data

As a Solution Engineer Data you will help organisations modernise their data estates from operational databases to enterprise analytics and unlock business value through Microsoft Fabric and AI-ready data foundations.

Working alongside account teams specialists and partners you will engage customers throughout their transformation journey from initial strategy discussions through to technical validation and adoption. You will combine deep technical expertise with industry understanding to design solutions that help customers migrate and modernise mission-critical databases build enterprise-grade data and analytics architectures and ground AI on their own data improving decision-making and creating AI-ready foundations.

Youll work with data leaders architects engineers and business stakeholders to showcase how Microsofts Data & AI platform including Azure SQL Azure Database for PostgreSQL Azure Cosmos DB Microsoft Fabric Power BI Azure Data Services and Copilot capabilities can accelerate innovation and deliver measurable business outcomes.

As a member of the team you will lead the most complex and strategic customer engagements influence at architect and executive level and mentor colleagues establishing yourself as a recognised technical leader in Data & AI role offers the opportunity to work with leading organisations across a broad range of industries supporting their next-generation data and AI initiatives.

• Lead strategic customer engagements by helping organizations modernize their data analytics and AI platforms to achieve business outcomes.
• Serve as a trusted technical advisor translating complex business challenges into scalable cloud data and AI solutions.
• Design and deliver solution demonstrations workshops architecture reviews and proof-of-concept engagements that support customer decision-making.
• Partner with sales customer success engineering and partner teams to develop technical strategies that accelerate customer transformation and drive business growth.
• Guide customers in adopting modern data platforms analytics capabilities governance practices and AI-enabled experiences.
• Build strong relationships with technical and business stakeholders influencing architecture and technology decisions throughout the customer lifecycle.
• Contribute to competitive strategies technical readiness and solution innovation by sharing market insights customer feedback and best practices.
• Mentor peers contribute to technical communities and help build a culture of continuous learning inclusion and customer obsession.

Required Qualifications:

• Bachelors degree in Computer Science Engineering Information Technology Data Science or a related discipline or equivalent practical experience.
• Experience in technical pre-sales solution architecture consulting data engineering database administration analytics or cloud technology roles.
• Experience designing or implementing enterprise-scale data database and analytics solutions.
• Experience engaging with both technical and business stakeholders in customer-facing environments.

Required Technical Experience:

• Experience with operational and transactional databases - including SQL Server Azure SQL (Database & Managed Instance) Azure Database for PostgreSQL and Cosmos DB - alongside modern analytics platforms.
• Hands-on database migration and modernisation experience including estate assessment heterogeneous migration (for example Oracle/PostgreSQL to Azure) and modernisation tooling.
• Hands-on experience building end-to-end analytics solutions in Microsoft Fabric Lakehouse/Warehouse Data Factory pipelines Spark and notebooks semantic models Power BI and Real-Time Intelligence or comparable modern data platforms such as Databricks.
• Understanding of enterprise-grade non-functional requirements high availability disaster recovery performance tuning security resilience and cost optimisation across both mission-critical databases and analytics platforms (including Fabric capacity sizing and workload/cost management).
• Familiarity with AI grounding on databases including vector stores RAG and connecting operational data to AI and Copilot experiences.
• Understanding of data engineering data warehousing analytics governance and modern data architectures across cloud-native and hybrid environments.
• Ability to communicate complex technical concepts clearly to both technical and non-technical audiences.

Solution Engineering IC4 - The typical base pay range for this role across United Kingdom is 61900.00 - 105500.00 per year. Certain roles may be eligible for benefits and other compensation.

Find additional benefits and pay information here:

Solution Engineering IC5 - The typical base pay range for this role across United Kingdom is 79700.00 - 133900.00 per year. Certain roles may be eligible for benefits and other compensation.

Find additional benefits and pay information here:
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.

Required Experience:

IC