Databricks Lead – Delivery & Engineering

Role overview

Databricks Lead – Delivery & Engineering at Jade Global

We invest in each employee’s personal and professional wellbeing because we understand that client success, as well as our ultimate success, starts with our employees.

Responsibilities

• We seek to provide the benefits you need while standing behind you every step of the way.
• Our programs include health-related policies and leave donation policy.

Preferred qualifications and skills

• 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 Experience 10–12 years in data engineering 3–5 years hands-on Databricks experience Skills 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 Working at Jade Global Talented people are drawn to world-class organizations that offer outstanding opportunities, and Jade Global is an employer of choice for individuals around the world.

Employment details

• Location: Pune [Maharashtra]

Additional role details

• Databricks Lead – Delivery & Engineering1 Lead hands-on Databricks delivery, ensuring adherence to CoE standards and best practices.