About this role
At Cepheo, we help organizations unlock the value of their data and transform the way they operate through Microsoft technology. As a leading Microsoft partner across the Nordics, we combine deep business understanding with strong expertise in ERP, CRM, Data & Analytics, Cloud and AI.
We are now looking for a Lead Data Architect who will help our customers define, design and realize modern data platforms that enable analytics, AI and business innovation.
This is a senior consulting role where you will combine strategic advisory, architecture and hands-on technical expertise. You will work closely with business stakeholders, technical teams and decision-makers to shape solutions that create real business value.
Microsoft Fabric Expertise
Microsoft Fabric is a strategic investment area for Cepheo and will be at the center of many customer engagements. The successful candidate will bring real-world implementation experience, a strong understanding of Fabric architecture and services, and the ability to guide customers on how to leverage the platform to support analytics, governance and AI initiatives.
Your role
As a Lead Data Architect, you will take a leading role in shaping modern data and analytics solutions built on Microsoft technologies. You will work with customers across industries to understand business challenges, challenge assumptions, define future-state architectures, guide technology decisions and lead implementation initiatives. You will act as a trusted advisor, helping organizations understand how data platforms, business applications, analytics and AI come together to create competitive advantage.
Internally, you will also contribute to developing Cepheo’s Data, Analytics and AI offerings, share your expertise across the organization and mentor colleagues.
Key responsibilities
Act as a subject matter expert, guiding customers on architecture decisions, platform adoption, implementation approaches and best practices
Lead architecture discussions and advise customers on data, analytics and AI strategy
Translate business requirements into scalable, secure and future-ready technical solutions
Design data models, information architectures, security models and governance frameworks
Ensure end-to-end integrity across data ingestion, transformation, storage, reporting and security
Design data platforms that support analytics, AI and Generative AI use cases
Help customers understand opportunities, risks and limitations related to AI adoption
Advise on how data from business systems, integration layers and analytics platforms should connect
Act as a technical lead and trusted advisor in customer engagements
Collaborate with consultants, analysts, developers and business stakeholders
Contribute to building and evolving Cepheo’s Data, Analytics and AI offerings
What You'll Bring We believe you bring a strong combination of technical expertise, business understanding, and consulting experience. Most importantly, you know how to ask the right questions, challenge assumptions, and help customers identify the best path forward.
Core Experience
Solid experience within Data & Analytics, preferably with architectural responsibility
Extensive hands-on experience designing, implementing and operating solutions on Microsoft Fabric
Proven experience designing and implementing modern data platforms
Strong knowledge of Azure-based data services
Excellent SQL skills
Experience with lakehouse architecture and modern data platform design
Experience with data modelling, information architecture, governance, and security
Experience working directly with customers in a consulting or advisory role
Ability to communicate effectively with both technical and business stakeholders
Experience presenting, positioning, and advocating solution proposals
Microsoft Business Applications & Enterprise Data A strong understanding of how operational systems connect to analytics platforms is important in this role. We are particularly interested in candidates who understand data models, integrations, and data flows related to:
Dynamics 365 Finance & Operations
Dataverse
Microsoft business applications
Enterprise integration architecture
You do not need hands-on experience working within these applications, but understanding how data moves from business systems into analytics platforms is essential.
AI & Modern Data Platforms
We are particularly interested in candidates who understand how modern data platforms enable AI-driven business value. Experience with the following is considered a strong advantage:
Generative AI and Large Language Models (LLMs)
Microsoft AI technologies, including Azure OpenAI, Azure AI Foundry, and Copilot technologies
Retrieval Augmented Generation (RAG), vector search, and semantic retrieval
AI governance, security, and responsible AI
How data quality, governance, and architecture impact AI solutions
Who you are
You are curious, analytical and motivated by solving complex business challenges. You enjoy engaging with customers, building trusted relationships and helping organizations move from ideas to tangible results. You combine strategic thinking with hands-on problem-solving and you are comfortable taking ownership in both customer engagements and internal initiatives.
You are also someone who
Communicates complex concepts in a clear and engaging way
Builds trust with both business and technical stakeholders
Takes ownership and drives initiatives forward
Enjoys mentoring and developing others
Shares knowledge generously across teams
Stays up to date with emerging technologies within Data, Analytics and AI
Acts as a role model, regardless of formal people management responsibility
Why Cepheo?
At Cepheo, you will join one of the leading Microsoft environments in the Nordics, working alongside skilled colleagues who are passionate about technology, innovation and creating real business value.
We offer
Exciting and complex customer projects
A strong Microsoft-focused environment
Opportunities for learning and certification
Flexible ways of working
A collaborative and supportive culture
The opportunity to help shape the future of Data, Analytics and AI across the Nordics