Specialist at Amazon in New York, NY

📌 New York 🏷️ Other 🕑 2021-09-16
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Sr Analytics Specialist SA

Amazon Web Services (AWS) is the pioneer and recognized leader in Cloud Computing. Our web services provide a platform for IT infrastructure in-the-cloud that is used by hundreds of thousands of developers and businesses around the world. These customers range from start-ups to leading web companies to Global 500 companies in financial services, pharmaceuticals, and technology. Want to make history?
Come and join the AWS Analytics team the creators of Amazon Redshift, Amazon EMR, and Amazon Athena. Thousands of customers run managed analytic workloads on Amazon s industry leading cloud computing platform. We are looking for an Analytics Specialized Solutions Architect, a Subject Matter Expert (SME) that can help customers leverage AWS services to solve their most challenging business problems.
AWS Solution Architects are well-respected and highly-visible, partnering across the company to own the customer s technical experience. We work with Account Managers, Business Development, and Service Teams to enable customer adoption and growth.
AWS Solution Architects help achieve scale through the development of white papers, blogs, reference architectures, labs, and presentations to evangelize design patterns and best practices. We also mentor and train the broader SA population within AWS, teaching them how to integrate Amazon Analytic Solutions appropriately into customer architectures. The ideal candidate will Be great fun to work with. Our company credo is Work hard. Have fun. Make history . As the right candidate, you will love what you do, and instinctively know how to make work fun. You will be dynamic and creative, and willing to take on any challenge. Enjoy working with customers and partners. You have a passion for educating, training, designing, and building cloud computing systems for some of the world s largest and most important organizations. At AWS, customer obsession is in our DNA. You will represent the voice of the customer in field engagements with AWS specialist sales, business development, and service teams. As part of a Solutions Architecture team, you will produce and validate reference architectures and customer adoption for AWS Analytics services including, Amazon Redshift, Amazon EMR, Amazon Data Lakes and Amazon Quick.
Sight. Roles &

Responsibilities

Designing customer solutions. Work with teams at existing and potential customers to deeply understand their business and technical needs. Develop solutions that make the best use of the AWS Cloud platform and Analytics Services. Collaborate with AWS field sales, training, and support teams to ensure customer success. Partnering with customer account teams, Business Development Managers and Analytics Service teams to accelerate customer adoption and revenue attainment. Acting as technical liaison between customers and the service engineering teams, providing product improvement feedback to AWS developers and accelerating the adoption of new features in customer deployments. Sharing what you know by capturing best-practice knowledge from engineering and field teams, including reference architectures and patterns amongst the worldwide AWS solution architect community in order to strengthen the worldwide database analytics community Exhibiting thought leadership.
AWS Solution Architects are well-respected at our customers, our company, and the technical communities. You increase your influence by sharing best practices through AWS forums, blogs, whitepapers, reference architectures and public speaking events such as AWS Summit and AWS re: Invent. Assisting solution providers with the definition and implementation of technical and business strategies. Basic qualifications 7+ years of experience in the design and implementation of complex IT systems Implementation and architecture experience in big data, data warehousing, data lake, operational analytics, data migration, and integration scenarios. (Amazon EMR, Hadoop, Spark, R, Presto, Hive, Amazon Redshift, Teradata, Vertica, Glue, Data Migration Services)Preferred qualification Working knowledge of modern software development practices and technologies such as agile methodologies and DevOps An advanced degree in computer science, MIS, engineering or related discipline Hands-on experience with Amazon Web Services Demonstrated industry leadership in the fields of Big Data processing, Data Warehousing and Data Sciences Deep understanding of data, application, server, and network security Experience with Statistics, Machine Learning and Predictive Modelling.
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 we host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon s culture of inclusion is reinforced within our 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust. Our team also puts a high value on work-life balance. Striking a healthy balance between your personal and professional life is crucial to your happiness and success here, which is why we aren t focused on how many hours you spend at work or online. Instead, we re happy to offer a flexible schedule so you can have a more productive and well-balanced life both in and outside of work. This position must be located at one of our U.S. AWS Corp. offices with a preference for New York, New York. 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 to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Pursuant to the Los Angeles Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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