Sr. Customer Success Engineer, Amazon Redshift
Amazon.com
This is an exciting opportunity to join the world class service team at Amazon Web Services! Come work with some of the best and brightest engineers and product managers while also developing your skills and furthering your career within one of the most innovative technology companies anywhere.
Amazon Redshift is looking for a Customer Success Engineer, who possess a unique balance of technical knowledge, business acumen, and interpersonal skill. We are looking for a motivated technologist that specializes in data warehousing or database systems and is excited to work with some of the largest and most advanced customers of Redshift. Ideal candidates have a strong background in Redshift and/or other data warehouse technologies, technical consulting, solutions architect, and customer management or similar roles.
Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud. With Redshift, you can query data in your data warehouse and combine it with exabytes of structured and semi-structured data that sits in the S3 Data Lake. Today, tens of thousands of AWS customers use Redshift to run mission-critical workloads including BI dashboards, analyze real-time streaming data, and run predictive analytics jobs.
In this role, you will support Redshift engineering, product, and operations. This will include working directly with some of our largest and most important customers to identify and resolve issues, assist pre-sales deals to onboard large-scale customers, automate repetitive processes, and work closely with business and support teams. You will prioritization operational issues, communicate roadmaps with customers, and become intimate with the architecture of our systems, while also deeply understanding customer use-cases and configurations, and also help prioritizing features.
The perfect candidate will have excellent communication skills, customer obsession, deep experience working with data warehouse technologies, preferably in large scale, distributed environments; and be very comfortable with networking and distributed architecture topics. You will have enthusiasm for digging deep and a flare for sharp technical communication, prioritization and organization.
Open to traveling ~30% domestic with some international.
Inclusive Team Culture
Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences.
Mentorship & Career Growth
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.
Amazon Redshift is looking for a Customer Success Engineer, who possess a unique balance of technical knowledge, business acumen, and interpersonal skill. We are looking for a motivated technologist that specializes in data warehousing or database systems and is excited to work with some of the largest and most advanced customers of Redshift. Ideal candidates have a strong background in Redshift and/or other data warehouse technologies, technical consulting, solutions architect, and customer management or similar roles.
Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud. With Redshift, you can query data in your data warehouse and combine it with exabytes of structured and semi-structured data that sits in the S3 Data Lake. Today, tens of thousands of AWS customers use Redshift to run mission-critical workloads including BI dashboards, analyze real-time streaming data, and run predictive analytics jobs.
In this role, you will support Redshift engineering, product, and operations. This will include working directly with some of our largest and most important customers to identify and resolve issues, assist pre-sales deals to onboard large-scale customers, automate repetitive processes, and work closely with business and support teams. You will prioritization operational issues, communicate roadmaps with customers, and become intimate with the architecture of our systems, while also deeply understanding customer use-cases and configurations, and also help prioritizing features.
The perfect candidate will have excellent communication skills, customer obsession, deep experience working with data warehouse technologies, preferably in large scale, distributed environments; and be very comfortable with networking and distributed architecture topics. You will have enthusiasm for digging deep and a flare for sharp technical communication, prioritization and organization.
Open to traveling ~30% domestic with some international.
Inclusive Team Culture
Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences.
Mentorship & Career Growth
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship. Our senior members enjoy one-on-one mentoring and thorough, but kind, code reviews. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded engineer and enable them to take on more complex tasks in the future.
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