Data and AI Architect
Hover or tap a row for full statistics (EUR / month on this chart).
Salary analysis
Compared with the selected benchmark ("All roles in Helsinki, Finland"), this listing's salary midpoint is about 93% lower. The offer sits below the benchmark range (€2,070–€5,000). The listed pay band (€219–€259) is tighter than the benchmark, which suggests lower salary variability. This benchmark is based on 2664 comparable listings.
| Market | Lower bound (25th percentile) | Median | Upper bound (75th percentile) |
|---|---|---|---|
| All roles in Helsinki, Finland | €2,070/per month | €2,872/per month | €5,000/per month |
| Pay in our data — not quoted in ad (Senior) | €219/per month | €239/per month | €259/per month |
Senior Data & AI Architect at Fujitsu, based in the Helsinki area, focusing on Azure, Fabric and AI Foundry to deliver data and AI platforms for public and private sectors in Finland. The role involves designing data architectures, data pipelines, analytics solutions, generative AI with RAG architectures, AI agents and smart workflows, and governance and security for data. The candidate will work in a trusted expert community and receive opportunities for training and certification.
Job Details
Responsibilities
- Architect data and AI solutions for clients
- Design modern data platforms and pipelines on Azure and Fabric
- Develop data architectures, data pipelines and analytics solutions
- Design generative AI and RAG architectures
- Implement AI agents and intelligent workflows
- Design governance, security and information management for data
- Advise clients and act as a technical expert on development projects
- Translate technology capabilities into business value
Requirements
- Experience in data architecture, data engineering or data platform development
- Strong Microsoft Azure expertise
- Experience with Microsoft Fabric or similar modern data platforms
- Strong SQL and Python skills
- Understanding of data governance, security and information management
- Experience in analytics and AI solution design and delivery
- Consultative mindset and ability to work with clients at the business-technology interface
Skills & Technologies
Recruitment Process
- 1Application review
- 2Initial interview
- 3Technical interview
- 4Offer and start date discussion
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