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Solution Engineering (Data & Sovereign Cloud)

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Microsoft Corporation

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Location:
France , Issy Les Moulineaux

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Category:
IT - Software Development

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Contract Type:
Not provided

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Salary:

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Job Description:

The Data & Sovereign Cloud Solution Engineer proactively engages with customers to design and drive trusted, sovereign, and data-centric cloud architectures. Leveraging deep expertise in data platforms, analytics, AI/ML workloads, and cloud infrastructure, the engineer builds technical credibility with customers operating in regulated and data-sensitive environments (public sector, critical industries, regulated enterprises). This role leads technical discussions around data platforms and architectures, establishes engagement models across extended teams, and acts as a trusted technical advisor in partner and ecosystem scenarios. The Solution Engineer plays a key role in enabling sovereign cloud adoption, ensuring data residency, compliance, security, and isolation requirements are met while unlocking innovation through Microsoft’s cloud and data services. By capturing competitive insights on data platforms, sovereign cloud offerings, and regulatory constraints, and collaborating closely with product and engineering teams, the engineer contributes to solution strategy and account-level technical wins.

Job Responsibility:

  • Build Strategy & Trusted Data Architectures: Collaborate with account teams to define data and cloud sovereignty strategies aligned with customer regulatory, security, and compliance requirements
  • Shape technical win plans around data platforms, analytics, AI/ML, and data-intensive workloads in sovereign or regulated cloud contexts
  • Tailor Microsoft messaging on trusted cloud, data residency, and compliance using customer feedback and competitive landscape insights
  • Share competitive intelligence on data platforms and sovereign cloud solutions with product and engineering teams to influence roadmap and positioning
  • Technical Enablement & Continuous Learning: Actively contribute to internal data and cloud communities
  • attend technical sessions, architecture reviews, and hackathons
  • Maintain and execute a personal readiness plan to stay current on data platform innovations, analytics, AI, and sovereign cloud architectures
  • Mentor peers and demonstrate new data, analytics, and cloud platform capabilities to internal teams
  • Partner & Ecosystem Engagement: Identify partner capability gaps related to data engineering, analytics platforms, and sovereign cloud implementations
  • Act as a technical liaison in sell-with and co-build partner scenarios, ensuring architectural alignment and compliance with sovereignty requirements
  • Support partner technical readiness for data-centric and regulated customer engagements
  • Scale Customer Engagements: Proactively engage customers to lead data architecture and cloud design discussions, from early strategy to technical decision points
  • Leverage Microsoft resources (Innovation Hub, demos, architecture assets) to unblock and accelerate customer data initiatives
  • Establish clear rules of engagement across extended technical teams to support complex, multi-workload data scenarios
  • Solution Design & Proof: Design and present end-to-end data architectures (Lakehouse, analytics, AI/ML pipelines) running on trusted and sovereign cloud environments
  • Drive cross-workload alignment across data, infrastructure, security, and application teams
  • Lead or oversee architecture design workshops and selected proof of concept (POC) engagements for data-intensive workloads
  • Validate architectures against data residency, security, compliance, and isolation requirements

Requirements:

  • Data Platform & Architecture Expertise: Strong understanding of modern data platforms (data lakes, lakehouse, analytics, AI/ML workloads)
  • Cloud & Sovereignty Advisory: Ability to guide customers through cloud adoption in regulated and sovereign contexts
  • Consultative Technical Selling: Understand business and regulatory needs before proposing architectures
  • Technical Communication: Clearly articulate complex data and cloud concepts to both technical and non-technical audiences
  • Competitive Analysis: Evaluate competing data and cloud solutions, particularly in sovereign and regulated markets
  • Stakeholder Management: Build trusted relationships with customer architects, security, compliance, and IT leaders
  • Problem Solving & Analytical Thinking: Analyze complex data and infrastructure challenges and design scalable solutions
  • Presentation & Storytelling: Communicate value through architecture narratives and data-driven use cases

Nice to have:

  • Data Engineering or Cloud Architecture background
  • Experience with regulated industries or public sector customers
  • Sovereign cloud, data residency, and compliance frameworks
  • Security and identity concepts applied to data platforms
  • Technical sales and solution design leadership
  • Proof of Concept (POC) execution for data workloads
  • Readiness for large-scale data platform deployments

Additional Information:

Job Posted:
March 13, 2026

Employment Type:
Fulltime
Work Type:
Hybrid work
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