Data Platform Engineer Manager

Role Overview: As the Engineering Lead - Data & Analytics at Syngenta, your role will involve supporting the delivery for leading data and engineering teams within the Data Mesh platform. You will oversee product delivery and spearhead the modernization of AI, BI, and agentic analytics solutions. Key Responsibilities: - Design, build, operate, and continuously improve the enterprise-scale Databricks based data mesh platform at Syngenta. - Focus 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. Qualifications Required: - Expert-level knowledge of Databricks Lakehouse, Spark SQL, Delta Lake, Unity Catalog, etc. in the Databricks Ecosystem. - Proficiency in Python, PySpark, or Scala for ETL/ELT development in programming. - Hands-on experience with at least one major cloud provider (Azure, AWS, or GCP) and related data services, preferably AWS. - Familiarity with Terraform, CI/CD pipelines, and DevOps practices in DevOps & Infrastructure-as-Code (IaC). - Experience with implementing data lineage, PII anonymization, and data quality frameworks in Data Governance. Additional Details: At Syngenta, the goal is to build the most collaborative and trustworthy team in agriculture, providing top-quality seeds and innovative crop protection solutions that improve farmers' success. The IT & Digital team at Syngenta is focused on this mission and is seeking an Engineering Lead - Data & Analytics in Pune to support the delivery for leading data and engineering teams within the Data Mesh platform. Employee may also participate in the creation and design of innovative solutions as part of the role, contributing to inventions, designs, copyrights, software, innovations, solutions, and other intellectual assets. Role Overview: As the Engineering Lead - Data & Analytics at Syngenta, your role will involve supporting the delivery for leading data and engineering teams within the Data Mesh platform. You will oversee product delivery and spearhead the modernization of AI, BI, and agentic analytics solutions. Key Responsibilities: - Design, build, operate, and continuously improve the enterprise-scale Databricks based data mesh platform at Syngenta. - Focus 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. Qualifications Required: - Expert-level knowledge of Databricks Lakehouse, Spark SQL, Delta Lake, Unity Catalog, etc. in the Databricks Ecosystem. - Proficiency in Python, PySpark, or Scala for ETL/ELT development in programming. - Hands-on experience with at least one major cloud provider (Azure, AWS, or GCP) and related data services, preferably AWS. - Familiarity with Terraform, CI/CD pipelines, and DevOps practices in DevOps & Infrastructure-as-Code (IaC). - Experience with implementing data lineage, PII anonymization, and data quality frameworks in Data Governance. Additional Details: At Syngenta, the goal is to build the most collaborative and trustworthy team in agriculture, providing top-quality seeds and innovative crop protection solutions that improve farmers' success. The IT & Digital team at Syngenta is focused on this mission and is seeking an Engineering Lead - Data & Analytics in Pune to support the delivery for leading data and engineering teams within the Data Mesh platform. Employee may also participate in the creation and design of innovative solutions as part of the role, contributing to inventions, designs, copyrights, software, innovations, solutions, and other intellectual assets.