Data Platform Product Owner — Azure Databricks

UNICEF - United Nations Children’s Fund

København

On-site

DKK 500,000 - 700,000

Full time

6 days ago
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Job summary

UNICEF seeks a Project Officer (Data Platform Owner) to oversee the end-to-end Data Platform (Azure Databricks) for the Supply Division in Copenhagen during a five-month parental leave period. You will own data pipelines, establish standards, and drive platform governance across the organization.

Responsibilities include defining the platform roadmap, monitoring health and performance, and translating business needs into robust data products and pipelines with reliability and security at the

Qualifications

  • Bachelor or equivalent degree in software engineering, computer science or related field.
  • Minimum 2 years of project management experience in data engineering contexts.
  • Fluency in English required.
  • Proven experience owning or architecting a Databricks-based data platform.

Responsibilities

  • Own end-to-end data platform (Azure Databricks) product including architecture and roadmap.
  • Define platform standards, monitoring, and data pipeline governance.
  • Manage cross-functional delivery across onshore/offshore teams with Agile/DevOps practices.
  • Ensure data quality, lineage, and compliance through governance tools like Purview.

Skills

Databricks ownership
English fluency
Python for data transformation
Azure DevOps
Vendor management
Offshore team management

Education

Bachelor or equivalent (First Level University Degree)

Tools

Azure Databricks
Microsoft Purview
CI/CD pipelines
Azure Cloud

Job description

UNICEF seeks a Project Officer (Data Platform Owner) to oversee the end-to-end Data Platform (Azure Databricks) for the Supply Division in Copenhagen during a five-month parental leave period. You will own data pipelines, establish standards, and drive platform governance across the organization.

Responsibilities include defining the platform roadmap, monitoring health and performance, and translating business needs into robust data products and pipelines with reliability and security at the

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