Solutions Engineer • Senior

Who you are

You have over 10 years of experience with Big Data Technologies such as Apache Spark™, Kafka, and Data Lakes, particularly in a customer-facing post-sales, technical architecture, or consulting role. Your background includes at least 4 years as a Solution Architect, where you've created designs and solved complex Big Data challenges for customers. You possess deep expertise in Apache Spark, distributed computing, and the Databricks platform capabilities, and you are comfortable writing code in Python, PySpark, and Scala. Your exceptional SQL, Spark SQL, and Spark-streaming skills set you apart, along with your advanced knowledge of Spark optimizations, Delta, and Databricks Lakehouse Platforms. You also have expertise in Azure and NoSQL databases like MongoDB, Redis, and HBase, as well as data governance and security practices such as Unity Catalog and RBAC. Your ability to work with Partner Organizations and deliver complex programs is complemented by your leadership skills in managing large technical delivery teams. You understand the competitive landscape, including EMR, Snowflake, and Sagemaker, and have experience with migration from On-prem / Cloud to Databricks, which is a plus. Excellent communication and client-facing consulting skills are essential, as is your ability to simplify complex technical concepts. You are willing to travel for onsite customer engagements within India.

What you'll do

As a Senior Solutions Engineer at Databricks, you will serve as a trusted technical advisor and hands-on expert, guiding strategic customers through their data and AI transformation initiatives using the Databricks platform. You will engage directly with customers to understand their unique challenges and provide tailored solutions that leverage your extensive knowledge of big data technologies. Your role will involve collaborating with cross-functional teams to design and implement solutions that meet customer needs, ensuring successful project delivery and customer satisfaction. You will also be responsible for leading technical discussions, conducting workshops, and providing training to customers on the Databricks platform. Your expertise will help customers navigate complex data challenges, optimize their data workflows, and achieve their business objectives. You will document your findings and solutions, contributing to the knowledge base of the Professional Services team. Additionally, you will stay updated on industry trends and advancements in big data technologies to continuously enhance your skills and the services offered by Databricks.

What we offer

At Databricks, we offer a dynamic work environment where innovation and collaboration are at the forefront. You will have the opportunity to work with cutting-edge technologies and be part of a team that is transforming the way organizations leverage data and AI. We provide competitive compensation and benefits, along with opportunities for professional growth and development. Our culture encourages continuous learning and supports employees in achieving their career goals. Join us in making a significant impact in the world of data and AI transformation.