Databricks Architect

We are hiring an experienced Databricks Architect to design and build modern data platforms on AWS. The ideal candidate should have strong experience in Databricks, PySpark, Python, SQL, and data architecture, with the ability to lead end-to-end data engineering initiatives.

Key Skills

Databricks, PySpark, Python, SQL, AWS, Unity Catalog, Delta Lake, GitHub, CI/CD, Jira

Responsibilities

- Design and implement scalable data solutions using Databricks on AWS
- Develop and optimize ETL/ELT pipelines using PySpark, Python, and SQL
- Implement data governance and security using Unity Catalog
- Manage Databricks administration, clusters, and platform performance
- Build and support Lakehouse architecture using Delta Lake
- Work with GitHub and CI/CD processes for deployment automation
- Collaborate with cross-functional teams and provide technical leadership

Requirements





- 10+ years of IT experience in Data Engineering/Data Architecture
- Strong hands-on experience with Databricks, PySpark, Python, and SQL
- Experience with AWS services such as S3, IAM, and Glue
- Knowledge of Unity Catalog, Delta Lake, and Databricks administration
- Experience with GitHub, Jira, and CI/CD pipelines
- Solid communication and stakeholder management skills

Good to Have

- Experience with Databricks Workflows, Delta Live Tables (DLT), or Lakeflow
- Databricks or AWS Certifications
- Experience designing enterprise-scale Lakehouse solutions

If you are passionate about building scalable data platforms and driving cloud-based data transformation, we'd love to hear from you.

📌 Databricks Architect (Bengaluru)
🏢 Cloud Raptor
📍 Bengaluru