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Job Title:

Databricks Architect

Company: Nous Infosystems

Location: Bangalore, Karnataka

Created: 2026-01-12

Job Type: Full Time

Job Description:

Databricks Architect About NousNous 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 ArchitectLocation: Bangalore Experience: 9-14 yearsRole OverviewWe 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 ResponsibilitiesArchitect and implement Databricks Lakehouse solutions for large-scale data platformsDesign 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 clustersEnable 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 teamsMust-Have Skills8+ years in data engineering / data architecture3+ years of strong hands-on experience with DatabricksExpert in Apache Spark, PySpark, SQLStrong experience with Delta Lake & Lakehouse architectureCloud experience on Azure Databricks / AWS DatabricksProven experience in designing high-volume, scalable data pipelinesGood-to-HaveUnity Catalog, MLflow, Databricks WorkflowsStreaming experience (Kafka / Event Hubs)CI/CD for Databricks (Azure DevOps / GitHub)Please do share your latest profile to shilpav@ with the following details.Current CTC :-Expected CTC :-Minimum Notice period :-RegardsTeam TA9880370901

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