Job Description: Databricks Developer / Data Architect

Position Title

Databricks Developer / Data Architect

Location

Hybrid/ Remote

Employment Type

Full-Time / Contract

Job Summary
We are seeking an experienced Databricks Developer / Data Architect to design, implement, and optimize contemporary data platforms and ETL pipelines using Databricks and cloud-native technologies. The ideal candidate will have robust expertise in data architecture, Lakehouse implementation, Medallion Architecture, and scalable ETL development across Azure and AWS settings.

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
Optimize Spark jobs for performance, cost efficiency, and reliability
Integrate data from relational and NoSQL databases, cloud platforms, and external systems
Automate deployment and monitoring of ETL workflows

Cloud & Platform Engineering
Work with Azure and AWS cloud services to deploy and manage data solutions
Configure integrations with Snowflake, Postgres, MongoDB, DynamoDB, Cloudera, and Domino Server
Support CI/CD, infrastructur

📌 Databricks Developer Pune Division (India)
🏢 EXL
📍 India