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Manager, Professional Services
DatabricksManager of Professional Services at Databricks overseeing impactful customer Big Data projects. Guiding clients in implementing successful big data and AI applications using Databricks.
Tech Stack
Tools & technologiesApacheAWSAzureBootstrapCloudGoogle Cloud PlatformKafkaSpark
About the role
Key responsibilities & impact- 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.
Requirements
What you’ll need- 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
- 4+ 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)
- Experience working on Databricks platform is a plus
- Documentation and white-boarding skills.
- Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects.
- Willingness to travel for onsite customer engagements within India.
Benefits
Comp & perks- For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks.
ATS Keywords
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Hard Skills & Tools
Apache SparkKafkaCloud NativeData LakesBig Data ArchitecturesDatabricksTechnical DocumentationWhite-boardingCloud PlatformsDeployment and Integration
Soft Skills
People ManagementCustomer EngagementConsultingTechnical ArchitectureCommunication