Sr. Customer Success Engineer, Amazon Redshift Service
Job description
- 3+ years of design, implementation, or consulting experience in applications or infrastructures
- 8+ years within specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics)
Bachelor’s Degree in Systems Engineering, Computer Science or related field, or relevant work experience- 2+ years database or data warehouse consulting/engineering or closely related technology
- Experience troubleshooting applications and system performance and complex, production software issues
- Navigate through a cross functional matrix organizations and comfortably work across different time zones
- Possess excellent communication skills and experience working with external customers (both technical and non-technical audiences).
Job summary
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 prioritize 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 ideal 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.
Work/Life Balance
Our team puts a high value on work-life balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.
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.
- Excellent problem solving skills with a strong attention to detail
- Ability to dive deep into complex technical problems
- Large enterprise account technical management experience
- Experience on Cloud Computing
- Experience managing large server fleets
- Experience with database systems internals, query optimization, understanding and providing recommendations to customers on their query patterns
- Good understanding of parallel system performance, efficiency and scalability measurement and analysis
- Act as a technical liaison between customers, service engineering teams and support
- Understanding of distributed systems in practice and their limitations
- Experience building and administering production databases
- The pay range for this position in Colorado and Jersey City, NJ is $153,550- $207,745/yr.; however, base pay offered may vary depending on job-related knowledge, skills, and experience. A sign-on bonus and restricted stock units may be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, dependent on the position offered. This information is provided per the Colorado Equal Pay Act. Base pay information is based on market location. Applicants should apply via Amazon's internal or external careers site.
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.
Pursuant to the Los Angeles Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Workers in New York City who perform in-person work or interact with the public in the course of business must show proof they have been fully vaccinated against COVID or request and receive approval for a reasonable accommodation, including medical or religious accommodation.
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