Solution Engineer – Data & AI

Technology, Data & Digital · Data, AI & Analytics · Data Science · Data Engineering · Business Intelligence

In short

As a Solution Engineer for Data & AI, you will guide organizations in modernizing their data estates and leveraging AI with Microsoft Fabric. You will collaborate with account teams and customers to design and implement solutions, acting as a trusted technical advisor to drive transformation and business outcomes across various industries.

Responsibilities

  • Lead strategic customer engagements to modernize data, analytics, and AI platforms.
  • 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.
  • Partner with sales, customer success, engineering, and partner teams to develop technical strategies.
  • Guide customers in adopting modern data platforms, analytics capabilities, governance practices, and AI-enabled experiences.
  • Build strong relationships with technical and business stakeholders.
  • Contribute to competitive strategies, technical readiness, and solution innovation.
  • Mentor peers and contribute to technical communities.

Requirements

  • Bachelor's degree in Computer Science, Engineering, Information Technology, Data Science, 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.
  • Experience with operational and transactional databases (SQL Server, Azure SQL, Azure Database for PostgreSQL, Cosmos DB).
  • Hands-on database migration and modernization experience.
  • Hands-on experience building end-to-end analytics solutions in Microsoft Fabric (Lakehouse/Warehouse, Data Factory pipelines, Spark, notebooks, semantic models, Power BI, Real-Time Intelligence) or comparable platforms like Databricks.
  • Understanding of enterprise-grade non-functional requirements (high availability, disaster recovery, performance tuning, security, resilience, cost optimization).
  • Familiarity with AI grounding on databases (vector stores, RAG).
  • Understanding of data engineering, data warehousing, analytics, governance, and modern data architectures.
  • Ability to communicate complex technical concepts clearly to both technical and non-technical audiences.

Desired Qualifications

  • Influence at architect and executive level.
  • Mentor colleagues and establish yourself as a recognized technical leader.

Benefits

  • Eligibility for benefits and other compensation.
  • Opportunity to work with leading organizations and next-generation data and AI initiatives.
#Data & AI#Microsoft Fabric#AI#Azure#SQL#PostgreSQL#Cosmos DB#Power BI#Copilot
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Company

Microsoft

Job Posted

1 month ago

Employment Type

Full Time

WorkMode

Hybrid

Experience Level

Mid-Senior

Locations

United Kingdom

Qualification

Bachelor

Applicants

Be an early applicant