Manager - Professional Services
To see similar active jobs please follow this link: Remote Development jobs
CSQ325R53
As a Manager, Professional Services in our Professional Services team you will work with clients on short to medium term customer engagements on their big data challenges using the Databricks platform. You will 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. RSAs are billable and know how to complete projects according to specification with excellent customer service. You will report to the Manager, Professional Services.
The impact you will have:
You will 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.
What we look for:
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)
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.
Benefits
Private medical insurance
Accident coverage
Employee's Provident Fund
Equity awards
Paid parental leave
Gym reimbursement
Annual personal development fund
Work headphones reimbursement
Business travel insurance
About the job
Manager - Professional Services
To see similar active jobs please follow this link: Remote Development jobs
CSQ325R53
As a Manager, Professional Services in our Professional Services team you will work with clients on short to medium term customer engagements on their big data challenges using the Databricks platform. You will 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. RSAs are billable and know how to complete projects according to specification with excellent customer service. You will report to the Manager, Professional Services.
The impact you will have:
You will 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.
What we look for:
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)
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.
Benefits
Private medical insurance
Accident coverage
Employee's Provident Fund
Equity awards
Paid parental leave
Gym reimbursement
Annual personal development fund
Work headphones reimbursement
Business travel insurance