Databricks Lead – Delivery & Engineering
Requirements at a glance
Databricks Lead – Delivery & Engineering at Jadeglobal is a role based in 2 Locations. The posting mentions 10+ years of experience. It does not mention visa sponsorship. Key skills include SQL, Spark, and Databricks. Applications are submitted through Workday.
- Experience
- 10+ years (mentioned)
- Visa sponsorship
- Not mentioned in the posting
- Application platform
- Workday
Skills in this posting
- SQL
- Spark
- Databricks
Extracted automatically from the job description. Confirm details in the full posting below.
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