Solution Engineer – Data & AI
Teknik, data och digitalt · Data, AI och analys · Datavetenskap · Data engineering · Business intelligence
I korthet
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.
Ansvarsområden
- 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.
Krav
- 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.
Önskade kvalifikationer
- Influence at architect and executive level.
- Mentor colleagues and establish yourself as a recognized technical leader.
Förmåner
- Eligibility for benefits and other compensation.
- Opportunity to work with leading organizations and next-generation data and AI initiatives.
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