Job Title : Databricks Solution Architect.

Experience : 10+ Years (Minimum 4 Years Relevant Databricks Experience).

Location : Bangalore.

Job Summary :

We are seeking an experienced Databricks Solution Architect with strong hands-on expertise in designing, architecting, and delivering end-to-end data solutions using Databricks at enterprise scale.

The ideal candidate will have a deep understanding of cloud data engineering, distributed processing, data governance, and modern data architecture frameworks.

Primary Skills (Must-Have) :

- Strong track record of delivering 23 end-to-end Databricks implementations in large enterprise environments.

- Proven experience as a Data Architect / Platform Architect with advanced Databricks expertise.

- Hands-on experience in cloud data engineering using Azure, AWS, or GCP.

- Deep understanding of :

- Apache Spark.

- Delta Lake.

- SQL Warehouse.

- Databricks Unity Catalog.

- Strong proficiency in Python, SQL, and data engineering pipelines.

- Experience with DBT is an added advantage.

Secondary Skills (Good-to-Have) :

- Experience in data governance, security frameworks, and compliance :

- RBAC, SSO, encryption, lineage, and auditing.

- Ability to design scalable, secure, and cost-optimized cloud-native platforms.

- Experience implementing :

- CI/CD pipelines.

- DevOps practices.

- Infrastructure-as-Code (Terraform or similar).

- Hands-on experience designing, developing, and optimizing large-scale batch pipelines for ingestion, transformation, and analytics using Databricks.

- Experience building and managing real-time streaming pipelines using :

- Spark Structured Streaming.

- Delta Live Tables.

- Other Databricks-native streaming frameworks.

Role & Responsibilities :

- Serve as the Solution Architect responsible for designing and delivering Databricks-based data platforms.

- Work with enterprise stakeholders to translate business requirements into scalable architectural designs.

- Lead the development of high-performance batch and streaming pipelines.

- Define architecture standards, best practices, and governance frameworks.

- Ensure platform reliability, security, and cost efficiency across cloud environments.

- Guide cross-functional engineering teams and provide technical leadership throughout project lifecycles.

- Collaborate with DevOps, Cloud, and Security teams to ensure seamless integration and platform adoption.