Databricks Solution Architect

As a Solution Architect specializing in Data Engineering, you will be responsible for designing and implementing efficient data solutions to meet the organization's requirements. Your expertise will be crucial in driving the success of data platforms and analytics initiatives. With over 12 years of experience in data engineering, data platforms, and analytics, you have a solid foundation to excel in this role. Your proficiency in Databricks Solution Architecture, Spark, UC, CI/CD, Terraform, disaster recovery, Azure, and Python SDK for Databricks will be instrumental in delivering high-quality solutions. To succeed in this role, you must have completed Data Engineering Professional certification and relevant classes. You should have a track record of successfully delivering a minimum of 8 projects with hands-on experience in development using Databricks. Your expertise in working with common Cloud ecosystems such as AWS, Azure, or GCP, along with deep knowledge in at least one, will be highly beneficial. In addition, your deep experience in distributed computing with Spark, familiarity with CI/CD for production deployments, working knowledge of MLOps, and current understanding of Databricks product features are essential for this position. You should also be well-versed in optimizations for performance and scalability to ensure the efficiency of data solutions. If you are looking for a challenging opportunity to leverage your skills in data engineering and architecture, this role as a Solution Architect in Data Engineering based in Navi Mumbai is the perfect fit for you. Your contributions will play a key role in shaping the organization's data strategy and driving innovation in data analytics. Apply now and be part of a dynamic team dedicated to excellence in data engineering.,