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 don't have the same technical background
- Problem solving and decision making skills
- Teamwork, team management and leadership skills
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
Innovations
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.