Job Description

Role purpose

- 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.

Knowledge, experience & capabilities

- 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.

Critical success factors & key challenges

- Solid data engineering skills , logical and reasoning
- Ability to deliver POCs, MVPs, Experiments, technology evaluations following design thinking practices
- Ability to orchestrate efforts needed to prioritize business initiatives across complex change agendas
- Excellent communication and stakeholder management skills to explain technical information to individuals who don't have the same technical background
- Problem solving and decision making skills
- Teamwork, team management and leadership skills

📌 Data Platform Engineer Manager (Pune)
🏢 Syngenta Group
📍 Pune