Big Data Manager

Summary

Join Databricks as a Big Data Manager in Professional Services to work on short-to-medium-term client engagements. You will leverage the Databricks platform to address big data challenges, providing data engineering, data science, and cloud technology solutions. Responsibilities include integrating with client systems, conducting training, and performing other technical tasks to maximize client value. You will report to the Manager, Professional Services and work on impactful customer projects, including building reference architectures and production-grade MVPs. You will guide strategic customers in implementing transformational big data projects and consult on architecture and design. Collaboration with Engineering and Databricks Customer Support is also expected to provide feedback and resolve issues.

Requirements

• 10+ years 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
• 3+ years of people management experience , managing a team of Data Engineers , Data Architects etc
• 6+ years of experience working on Big Data Architectures independently
• Experience working across Cloud Platforms (GCP / AWS / Azure)
• Documentation and white-boarding skills
• Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects

Responsibilities

• Work with clients on short to medium term customer engagements on their big data challenges using the Databricks platform
• Provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data
• Complete projects according to specification with excellent customer service
• Work on a variety of impactful customer technical Big Data projects which may include building reference architectures, how-to's and production grade MVPs
• Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications
• Consult on architecture and design; bootstrap or implement strategic customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks
• Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues

Preferred Qualifications

Experience working on Databricks platform is a plus