Data Platform Engineer Manager
Syngenta GroupThis role is no longer listed. Syngenta Group took the posting down on Oct 6, so applying now won't reach anyone. It stays here for your saved list and any links you shared.
Match Score
Against your primary resumeLogin to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Protocol Intelligence
Data-driven signals on your job's competitivenessLog in to see why each signal reads the way it does.
Job Description
Structured overview of role & requirementsAbout This Role
Design, build, operate, and continuously improve an enterprise-scale Databricks based data mesh platform focusing on reliability, scalability, security, and interoperability.
Enable data engineers, analytics, and data science teams with domain autonomy for ingesting, processing, and sharing data securely using Databricks.
Deliver POCs, MVPs, experiments, and technology evaluations using design thinking to prioritize complex business initiatives and manage stakeholder communication.
Minimum Requirements
5+ years experience in data engineering, data platform engineering, or architecture.
3+ years hands-on production experience with Databricks.
B.tech or M.tech degree.
Databricks Certified Professional certification required.
Ideal Candidate Profile
Expert-level knowledge of Databricks Lakehouse, Spark SQL, Delta Lake, Unity Catalog, and proficient in Python, PySpark, or Scala for ETL/ELT development.
Experience with major cloud platforms, preferably AWS, and familiarity with Terraform, CI/CD pipelines, and DevOps practices.
Skilled in implementing data governance practices including data lineage, PII anonymization, and data quality frameworks, and experienced in leadership and cross-functional stakeholder management.