Databricks Architect

Location: Bengaluru

Databricks Architect

About Nous

Nous Infosystems is a CMMI® Level 5 and ISO 9001:2000 certified global information Technology Company with expertise in providing quality software solutions and IT-enabled support services to a wide range of industries. Nous was incorporated in 1996 with the mission of providing the highest quality software development services to clients around the world. Over the years, we have successfully broadened our service offerings to include consultancy services, software and hardware testing services, and a comprehensive range of IT enabled services.

To know more about the company, please visit our website

We are on the lookout for strong databricks professionals with the following skills.

Role:
Databricks Architect

Location:

Bangalore

Experience:

9-14 years

Role Overview

We are looking for a Databricks Architect to design and lead modern Lakehouse data platforms using Databricks. The role focuses on building scalable, high-performance data pipelines and enabling analytics and AI use cases on cloud-native data platforms.

Key Responsibilities

- Architect and implement Databricks Lakehouse solutions for large-scale data platforms
- Design and optimize batch & streaming data pipelines using Apache Spark (PySpark/SQL)
- Implement Delta Lake best practices (ACID, schema enforcement, time travel, performance tuning)
- Build and manage Databricks jobs, workflows, notebooks, and clusters
- Enable data governance using Unity Catalog (access control, lineage)
- Integrate Databricks with cloud data services (ADLS / S3, ADF, Synapse, etc.)
- Support analytics, BI, and AI/ML workloads (MLflow exposure is a plus)
- Lead solution design discussions and mentor data engineering teams

Must-Have Skills

- 8+ years in data engineering / data architecture
- 3+ years of strong hands-on experience with Databricks
- Expert in Apache Spark, PySpark, SQL
- Strong experience with Delta Lake & Lakehouse architecture
- Cloud experience on Azure Databricks / AWS Databricks
- Proven experience in designing high-volume, scalable data pipelines

Good-to-Have

- Unity Catalog, MLflow, Databricks Workflows
- Streaming experience (Kafka / Event Hubs)
- CI/CD for Databricks (Azure Dev Ops / Git Hub)

Please do share your latest profile to  with the following details.

- Current CTC :

- - Expected CTC :

- - Minimum Notice period :

- Regards

Team TA