Syngenta Group: Data Platform Engineer Manager — Pune, ASIA, India

About Syngenta Group

Syngenta Group works in agricultural technology and crop-related innovation. Its employer descriptions connect scientific development and crop solutions with helping farmers use resources effectively and improve how crops are grown. Material from its vegetables-and-flowers business also identifies seed breeding for different climates and horticultural needs. Across these activities, the stated business purpose links agricultural production with resource use and environmental concerns, bringing scientific and technological work to practical farming and growing conditions.

The position and its setting

Syngenta Group lists Data Platform Engineer Manager in Pune, ASIA, India, under reference 18073131. The details below separate the work described by the employer from essential conditions, preferred experience and practical preparation advice.

• Department: IT & Digital
• Employment type: Full-time
• Employer listing date: 15 October 2026
• Brands: Syngenta Group

Responsibilities and work described

• 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
• 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
• Data engineering skills, logical and reasoning
• 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

Essential requirements and candidate background

• Knowledge, experience & capabilities
• Deliver POCs, MVPs, Experiments, technology evaluations following design thinking practices
• Orchestrate efforts needed to prioritize business initiatives across complex change agendas
• 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

Location, schedule and contract conditions

• Work arrangement: On-site
• Advertised location: Pune, ASIA, India

Pay and application dates

A verified salary figure is not established in this article. An online estimate for another Data Platform Engineer Manager vacancy is not an offer for reference 18073131; use the employer’s own pay disclosure and recruitment communication.

A closing date is not confirmed in this article. Check the current employer page before submitting: an undated posting can change or be withdrawn.

How to apply to Syngenta Group

Applications follow the official employer page linked below.

Open the official Syngenta Group posting below and match the title and reference 18073131.

Compare your qualifications and experience with the essential conditions for the Pune, ASIA, India position, then read the preferred criteria separately.

Prepare an accurate CV and the supporting items requested in that employer’s application. Provide only information and documents you are authorised to share.

Use the employer’s application option, complete the required fields and review the submission. Retain the acknowledgement when one is provided. Job Alerts World does not receive the application.

Practical preparation: Python

Python work is easier to assess through a concrete example than a list of libraries. Explain the problem, the input data, the parts you implemented and how you checked the output. Include a repository or a short technical note when you can share it.

Relevant skills

• Python
• SQL
• Spark
• CI/CD
• AWS
• GCP
• Azure
• Google Cloud
• Terraform
• stakeholder management