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Data Platform Engineer Manager

Syngenta Group Open
On-site Pune Full-time Manager Data Engineering

At a glance

Manager-level Data Engineering role at Syngenta Group. Pune · full-time.

Pay not stated Data Engineering salary

RoleData Engineering
SeniorityManager
LocationPune
WorkplaceOn-site
EmploymentFull-time
PostedNov 3, 2026
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Design, build and run an enterprise Databricks data mesh, improving its reliability, scale and security
  • Enable engineering, analytics and data science teams to ingest, transform and share data independently
  • Maintain platform safeguards for data quality, security and interoperability across domains
  • Deliver proofs of concept, MVPs and technology evaluations, and coordinate priorities across complex initiatives

What you bring

  • A B.Tech or M.Tech degree and at least eight years in data engineering, platform engineering or architecture
  • At least three years using Databricks in production, with expert knowledge of its Lakehouse, Spark SQL and Delta Lake
  • Strong Python, PySpark or Scala skills, plus hands-on experience with Azure, AWS or GCP
  • Experience with Terraform, CI/CD, data lineage, PII anonymization and data quality frameworks
  • A Databricks Certified Professional certification

Who this fits

This manager role suits a hands-on data platform leader who can guide a team and explain technical choices to nontechnical stakeholders. The position is based onsite in Pune.

From the employer

At Syngenta Group, we're a global community of 56,000 innovators across 90 countries, united by a 250-year legacy of agricultural excellence. As the world's most local agricultural technology partner, we create tailor-made solutions that transform farming while protecting our planet, driven by our commitment to innovation, ethics, and integrity. Through our inclusive environment and diverse perspectives, we pioneer breakthrough solutions for farmers, society, and future generations. Join our worldwide teams of agricultural pioneers in creating a more resilient and equitable food system for all.

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
  • B.tech/M.tech
  • 8+ 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

Syngenta is an Equal Opportunity Employer and does not discriminate in recruitment, hiring, training, promotion or any other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, marital or veteran status, disability, or any other legally protected status.

Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Engineering

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.