Jadeglobal

Databricks Lead – Delivery & Engineering

Pune, Maharashtra · Hyderabad, Telangana

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hirly's read of this role

Seniority: Lead / management
Country: IN
Work mode: On-site / unstated
First seen by hirly: 27 Sept 2026

Derived automatically from the posting. Upload your resume above to see how the role scores against it.

the posting

Databricks Lead – Delivery & Engineering1

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

Key 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

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

Original posting on Jadeglobal's site ↗

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