Azure Databricks Data Platform Product Owner

UNICEF; København; On-site; DKK 750,000 - 1,000,000; Full time

Job summary

UNICEF is seeking a Product Owner for the Azure Databricks-based Data Platform during a five-month parental leave period. You will own data pipelines end-to-end, drive architecture, and ensure reliability, observability, and cost efficiency across the Supply Division data ecosystem.

The role requires delivering production-grade data products, enforcing governance with Purview, and guiding teams through DataOps practices while maintaining high performance and security.

Qualifications

• First-level university degree required in relevant field or equivalent experience.
• Minimum of two years of professional experience in data engineering or data platform management.
• Experience with cloud data platforms (Azure Databricks) and ETL/ELT processes essential.
• Experience in product ownership and agile methodologies is a strong asset.

Responsibilities

• Own Data Platform for UNICEF Supply Division, acting as Product Owner for Azure Databricks and managing workspace architecture, cluster strategy, cost optimization, and data lake/lakehouse design.
• Define and enforce platform standards, best practices, and reusable patterns; own platform roadmap for stability, scalability, security, and performance.

Skills

Azure Databricks

Data Pipeline Management

Data Architecture

Data Governance

Microsoft Purview

Data Quality Management

Agile Project Management

DevOps/DataOps

CI/CD

Cloud Data Platforms

Product Ownership

Monitoring and Alerting

Education

Bachelor's degree in Computer Science, Information Technology, Data Science, Engineering, or related field

Job description

UNICEF is seeking a Product Owner for the Azure Databricks-based Data Platform during a five-month parental leave period. You will own data pipelines end-to-end, drive architecture, and ensure reliability, observability, and cost efficiency across the Supply Division data ecosystem.

The role requires delivering production-grade data products, enforcing governance with Purview, and guiding teams through DataOps practices while maintaining high performance and security.