Data Platform Engineer Manager

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

• Strong 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 dont have the same technical background
• Problem solving and decision making skills
• Teamwork, team management and leadership skills Qualifications

Qualification & Experience Level

• B. tech/M. tech
• 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