We are seeking a skilled Databricks Architect to design, implement, and optimize scalable data solutions within our cloud-based data platform. This role requires extensive knowledge of Databricks (Azure/AWS), data engineering, and a deep understanding of data architecture principles, with the ability to drive strategy, best practices, and hands-on implementation for high-performance data processing and analytics solutions.
Responsibilities:
Solution Architecture:
Design and architect end-to-end data solutions using Databricks and Azure/AWS, including data ingestion, processing, and storage.
Delta Lake Implementation:
Leverage Delta Lake and Lakehouse architecture to create robust, unified data structures that support advanced analytics and machine learning.
Data Processing Development:
Develop, design, and automate large-scale, high-performance data processing systems (batch and/or streaming) to drive business growth and enhance the product experience.
Performance Tuning:




Ensure optimal performance of data pipelines and workloads by implementing best practices for resource management, auto-scaling, and query optimization in Databricks.
Engineering Best Practices:
Advocate for high-quality software engineering practices in building scalable data infrastructure and pipelines.
Architecture/Solution Development:
Develop Architecture or solution for large data project using Databricks.
Project Leadership:
Lead data engineering projects to ensure pipelines are reliable, effective, testable, and maintainable.
Data Modeling:
Design data models optimized for storage, retrieval, and critical product and business requirements.
Logging Architecture:
Understand and influence logging to support data flow, implementing logging best practices as needed.
Standardization and Tooling:
Contribute to shared data engineering tools and standards to boost productivity and quality for Data Engineers across the company.
Collaboration:
Work closely

📌 Tech Lead Navi Mumbai (India)
🏢 Robosoft Technologies
📍 India