Description

You will ensure the reliability, efficiency, and scalability of data pipelines and platform capabilities within the data ecosystem.

This role is on-site.

Responsibilities

• Build and manage capabilities that allow decentralized data product teams to engineer and deploy pipelines.
• Configure and monitor platform tools including dbt, Snowflake, and API services.
• Implement platform services for data ingestion, real-time processing, and data consumption.
• Design and build data security layers such as data masking and row access policies.
• Translate SLA requirements into new platform capabilities for observability and quality monitoring.

Required Skills

• 7+ years of professional experience in data management or data operations.
• Expert knowledge of Snowflake and Databricks.
• Proficiency managing interconnected pipelines using Airflow, dbt, and Microsoft Fabric.
• Hands-on experience with API management (MuleSoft or Snaplogic) and API service building.
• Practical experience implementing data observability, quality measurement, logging, and alerting.
• Strong experience with DevOps CI/CD integration with dbt, Snowflake, and Databricks.
• Technical proficiency with Neo4j and general data management practices.
• Experience working in Agile environments using Microsoft DevOps.

Preferred Skills

• Proficient English plus an additional foreign language.
• Experience working with enterprise data in the laboratory diagnostics field.

Key Skills

Education

Any Gradute