Data Platform Engineer Manager

About this role

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Skills you'll use

What you'll do

• The Data Platform Engineer Manager is responsible for designing, building, operating, and continuously improving enterprise‑scale , Databricks based data mesh platform at Syngenta.
• This role focuses on platform reliability, scalability, security, and enablement of data engineers, analytics, and data science teams ,  enable domain autonomy to ingest, process, and share data using  Databricks , while ensuring security, quality, and interoperability. 
• Databricks Ecosystem: Expert-level knowledge of Databricks Lakehouse, Spark SQL, Delta Lake, Unity Catalog etc.
• Programming: Proficiency in Python, PySpark, or Scala for ETL/ELT development.
• Cloud Platforms: Hands-on experience with at least one major cloud provider (Azure, AWS, or GCP) and related data services. AWS Preferable.
• DevOps & Infrastructure-as-Code (IaC): Familiarity with Terraform, CI/CD pipelines, and DevOps practices.
• Data Governance: Experience with implementing data lineage, PII anonymization, and data quality frameworks. 
• Strong data engineering skills , logical and reasoning  

Who can apply

• 5+ years of experience in data engineering, data platform engineering, or architecture.
• 3+ years of hands-on experience specifically with Databricks in production environments. 
• Certifications: Databricks Certified Professional
• Employee may, as part of his/her role and maybe through multifunctional teams, participate in the creation and design of innovative solutions. In this context, Employee may contribute to inventions, designs, other work product, including know-how, copyrights, software, innovations, solutions, and other intellectual assets.

About Syngenta Group

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