Onsite Databricks Lead – Delivery, Engineering

Posted 14 hours ago

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About the role

  • Lead hands-on Databricks delivery ensuring adherence to CoE standards and best practices at Jade Global. Drive engineering teams for data platform implementation and optimization.

Responsibilities

  • Lead hands-on Databricks delivery
  • Ensure adherence to CoE standards and best practices
  • Lead Databricks engineering teams
  • Build and optimize Spark & Delta Lake pipelines
  • Implement Databricks Jobs, Workflows, CI/CD
  • Optimize performance and DBU usage
  • Contribute to Databricks accelerators and standards
  • Design and implement end-to-end data platforms using Databricks Lakehouse
  • Lead development of data ingestion (batch & streaming)
  • Delta Lake data modeling (Bronze/Silver/Gold)
  • Scalable ETL/ELT pipelines
  • Optimize Spark workloads for performance and cost
  • Ensure reliability, scalability, and observability of data pipelines

Requirements

  • 10–12 years in data engineering
  • 3–5 years hands-on Databricks experience
  • Deep expertise in Databricks, Apache Spark, Delta Lake
  • Strong hands-on experience with PySpark / Spark SQL (core, SQL, streaming)
  • Experience designing Lakehouse architectures
  • Strong understanding of data modeling, data quality, and lineage
  • Databricks platform features
  • Cloud-native data engineering
  • Performance tuning & troubleshooting
  • Certifications (Preferred) Databricks Data Engineer Associate and Professional

Benefits

  • health-related policies
  • leave donation policy

Job title

Databricks Lead – Delivery, Engineering

Job type

Experience level

Senior

Salary

Not specified

Degree requirement

No Education Requirement

Location requirements

OnsitePuneIndia

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