Manager, Professional Services

About the Role: As a Big Data Manager in our Professional Services team at Databricks, you will work with clients on short to medium-term customer engagements focusing on their big data challenges using the Databricks platform. You will provide data engineering, data science, and cloud technology expertise, integrate with client systems, and help customers get the most value out of their data.

What You'll Do

• Manage a team of Data Engineers and Data Architects to deliver industry-leading big data and AI applications.
• Work on a variety of impactful customer technical Big Data projects, including building reference architectures, how-to's, and production-grade MVPs.
• Guide strategic customers as they implement transformational big data projects and 3rd party migrations.
• Consult on architecture and design to bootstrap or implement strategic customer projects.
• Work with Engineering and Databricks Customer Support to provide product feedback and guide rapid resolution for engagement-specific issues.

What You Bring

• 10+ years of experience with Big Data Technologies such as Apache Spark, Kafka, Cloud Native, and Data Lakes in a customer-facing post-sales, technical architecture, or consulting role.
• 4+ years of people management experience, specifically managing Data Engineers or Data Architects.
• 6+ years of independent experience working on Big Data Architectures.
• Experience working across Cloud Platforms (GCP / AWS / Azure).
• Strong documentation and white-boarding skills.
• Bonus: Experience working directly on the Databricks platform.
• Note: Willingness to travel for onsite customer engagements within India.

Benefits

• Comprehensive benefits and perks tailored to meet the needs of our employees.
• Opportunity to work at the pioneering data and AI company founded by the original creators of Lakehouse, Apache Spark, Delta Lake, and MLflow.
• Remote work flexibility within India.