Databricks Lead – Delivery & Engineering
Jade Global Software Pvt LTD
Apply to this jobLead 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
Summary
Lead data engineering teams, build data pipelines, optimize performance, and ensure scalable data platforms.
Job title
Databricks Lead – Delivery & Engineering
Experience level
10+ years
Minimum experience
10+ years exp
Industry
software
Location requirements
On-site in Pune or Hyderabad, India, no remote work.
Salary
Not specified
Visa sponsorship
H-1B sponsor history
Management role
No
Required skills
Preferred skills
Specializations
Structured locations inferred from the posting.
Pune, Maharashtra, India
Hyderabad, Telangana, India