oracle
Databricks Developer / Data Architect
EXL
Pune, IND
Mid · 5+ years experience
Hybrid
Discovered 2 weeks ago
airflowawsazureazure-data-factorydatabricksdelta-lake
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About the Role
We are seeking an experienced Databricks Developer / Data Architect to design, implement, and optimize modern data platforms and ETL pipelines using Databricks and cloud-native technologies. The ideal candidate will have strong expertise in data architecture, Lakehouse implementation, Medallion Architecture, and scalable ETL development across Azure and AWS environments. The role involves setting up Databricks workspaces, configuring data integrations and Lakehouse Federation, building enterprise-grade ETL workflows, and enabling high-performance analytics solutions.
Key Skills for This Role
airflowawsazureazure-data-factorydatabricksdelta-lake
Full Job Posting
Location
- Hybrid/ Remote
- Employment Type
- Full-Time / Contract
- Job Summary
- We are seeking an experienced Databricks Developer / Data Architect to design, implement, and optimize modern data platforms and ETL pipelines using Databricks and cloud-native technologies. The ideal candidate will have strong expertise in data architecture, Lakehouse implementation, Medallion Architecture, and scalable ETL development across Azure and AWS environments.
- The role involves setting up Databricks workspaces, configuring data integrations and Lakehouse Federation, building enterprise-grade ETL workflows, and enabling high-performance analytics solutions.
- Key Responsibilities
- Data Architecture & Modeling
- Design and implement scalable enterprise data architectures using Databricks Lakehouse platform
- Configure and manage Databricks workspaces, clusters, access controls, and governance
- Implement Medallion Architecture (Bronze, Silver, Gold layers) for data processing and analytics
- Set up and manage Lakehouse Federation and data connectors for multi-source integration
- Develop logical and physical data models for structured and semi-structured datasets
- Ensure data quality, security, scalability, and performance optimization
- ETL Development
- Develop and maintain scalable ETL/ELT pipelines using PySpark, Spark SQL, and Databricks workflows
- Build reusable data ingestion frameworks for batch and streaming workloads
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