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Databricks Lead - Delivery & Engineering at Jadeglobal

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Databricks Lead - Delivery & Engineering

External

Jadeglobal · Pune, India

Full-timeOn-siteToday

ApacheCI/CDData ModelingETLObservabilityPySpark

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Responsibilities

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

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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

Additional Information

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