DATABRICKS ARCHITECT (10-15 years), Chennai Job Description We are seeking a highly skilled Databricks Architect to lead the design, implementation, and optimization of scalable cloud-based data platforms. This role requires deep expertise in Lakehouse architecture, Databricks, Apache Spark, and Delta Lake, along with proven experience delivering end-to-end enterprise data engineering solutions. Roles & Responsibilities Architect and implement enterprise-grade Lakehouse solutions using Databricks.Design and deliver end-to-end data engineering pipelines, including batch and real-time streaming solutions. Lead implementation of:Cloud-based data lakehouse platforms integrating diverse data sources. Real-time data processing pipelines for operational and analytical use cases. Develop scalable ETL/ELT pipelines using PySpark, Scala, and SQL.Implement advanced data modeling solutions including 3NF, dimensional modeling, and enterprise data warehousing strategies. Design and build incremental data loading frameworks and metadata-driven ingestion pipelines.



Establish data quality frameworks and governance standards.Implement and manage Unity Catalog, including fine-grained security and access controls. Leverage Databricks components such as:Delta Live TablesAutoloaderStructured StreamingDatabricks WorkflowsIntegration with orchestration tools (e.g., Apache Airflow)Drive CI/CD automation, deployment strategies, and DevOps best practices. Optimize performance of pipelines, Spark jobs, and compute resources. Provide architectural guidance and technical leadership across cross-functional teams. Engage with stakeholders and clients to translate business requirements into scalable technical solutions. Deep expertise in:Databricks and cloud-native storage/compute platformsApache Spark (batch & streaming)Delta Lake & Lakehouse architectureDistributed data processing systemsStrong hands-on programming skills in Python, PySpark, Scala, and SQL.

📌 DATABRICKS ARCHITECT (Chennai)
🏢 Boolean Staffing Recruitment Solutions
📍 Chennai