Hover or tap a row for full statistics (EUR / month on this chart).
Salary analysis
Compared with the selected benchmark ("All roles in Madrid, Spain"), this listing's salary midpoint is about 94% lower. The offer sits below the benchmark range (€3,324–€15,737). The listed pay band (€462–€651) is tighter than the benchmark, which suggests lower salary variability. This benchmark is based on 17 comparable listings.
| Market | Lower bound (25th percentile) | Median | Upper bound (75th percentile) |
|---|---|---|---|
| Market Average: Data Architect | €4,900/per month | €6,375/per month | €8,400/per month |
| All roles in Madrid, Spain | €3,324/per month | €7,003/per month | €15,737/per month |
Who We Are At Kyndryl, we run and reimagine the mission-critical technology systems that drive advantage for the world’s leading businesses. We are at the heart of progress; with proven expertise and a continuous flow of AI-powered insight, enabling smarter decisions, faster innovation, and a lasting competitive edge. For our people—Kyndryls—that means doing purposeful work that powers human progress. Join us and experience a flexible, supportive environment where your well-being is prioritized and your potential can thrive. The Role We are looking for a Data Architect to join Kyndryl’s Applications, Data & AI (ADAI) practice, supporting strategic enterprise data transformation initiatives on Google Cloud Platform (GCP). The ideal candidate combines strong architecture expertise with hands-on delivery experience designing modern, scalable, and governed data platforms. This role will be responsible for defining end-to-end data architectures, translating business requirements into technical solutions, and leading implementation teams to deliver enterprise-grade data ecosystems. Key Responsibilities: … (full text omitted for brevity)
Job Details
Responsibilities
- Design and define enterprise-scale data architectures on Google Cloud Platform (GCP).
- Gather business and technical requirements and translate them into scalable data platform strategies and implementation roadmaps.
- Design modern data ecosystems including data lakes, data warehouses, lakehouse architectures, and real-time processing solutions.
- Lead and mentor data engineering teams during implementation and delivery phases.
- Ensure solutions follow enterprise security, compliance, governance, and data quality standards.
- Collaborate with technical and non-technical stakeholders to align architecture decisions with business objectives.
Requirements
- 5+ years experience designing and implementing enterprise data platforms and architectures.
- Strong experience with GCP services (BigQuery, Cloud Storage, Dataflow, Pub/Sub, Dataproc, Composer, Vertex AI).
- Experience with data lakes, data warehouses, lakehouse patterns.
- Experience leading technical teams and coordinating implementations.
Skills & Technologies
| Location | Active listings |
|---|---|
| Espoo, Finland | 13 |
| Remote - Global | 12 |
| Jyväskylä, Finland | 3 |
| Role type | Active listings |
|---|---|
| Software Engineer | 5 |
| Human Resources Specialist | 3 |
| Business Analyst | 2 |
| Solution Architect | 2 |
| Mainframe Developer | 2 |
| Program Manager | 1 |
| Compliance and Audit Readiness Lead | 1 |
| Cyber Security Product Manager | 1 |
| Contract Proposal Manager | 1 |
| Payment Product Management | 1 |
| Java Developer | 1 |
| Test Manager | 1 |
| Project Manager | 1 |
| Security Consultant | 1 |
| Test Automation Specialist | 1 |
| Chief Technology Officer | 1 |
| Role level | Active listings |
|---|---|
| Mid-Level | 18 |
| Senior | 4 |
| Manager | 2 |
Related Opportunities
Discover more opportunities that match your interests and skills