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Sr. Solutions Architect, BI Tools Specialist - Nationwide Opportunities, New York Area

Created 08/01/2020
Reference 1226700
Category Solutions Architect
Country United States
City New York Area
Zip 17401
Salary Competitive
Talkers Talk, Builders Build. Do you love to innovate on behalf of customers? Do you thrive on solving challenges working with a diverse set of solutions building products for a wide set of industries? Do you have a passion for thought leadership in technology? We are looking for a Senior Solutions Architect to join the Analytics team, and it could be you!

As an Analytics Solutions Architect, you will get hands on with customers, not only presenting ideas, but also developing code snippets, how-tos, white papers, blogs, sample dashboards, labs, and presentations to evangelize BI design patterns and best practices. You will also mentor and train the broader SA population within AWS, teaching them how to integrate Amazon Analytic Solutions appropriately into development 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 analytic tools. You have a passion for educating, training, designing, and building cloud computing systems for some of the world's fastest growing companies.

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 produce and validate reference architectures and customer adoption for AWS Analytics tools like Amazon QuickSight.

Specific responsibilities include:

• Designing solutions and prototypes for customers. Develop solutions that make the best use of Amazon QuickSight and educate customers on how to integrate dashboards into their custom applications. 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 build a strong worldwide database and analytics community
• Exhibiting thought leadership. Evangelize AWS Services and Analytics Solutions that benefit customers. Share best practices through forums such as AWS blogs, whitepapers, reference architectures and public speaking events such as AWS Summit and AWS re:Invent

BASIC QUALIFICATIONS


• 7 or more years of experience with a Business Intelligence tool.
• 2 or more years of experience working with Web Development languages like JavaScript
• 2 or more years of experience working with development languages like Python
• Current implementation and architecture experience in two or more of 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)
• Working knowledge of modern software development practices and technologies such as agile methodologies and DevOps
• Bachelor's Degree in Mathematics, MIS, Computer Science or Engineering discipline OR equivalent work experience
• Available for travel up to 25%

PREFERRED QUALIFICATIONS


• 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, Database, Data Warehousing and Data Sciences
• Deep understanding of data, application, server, and network security
• Experience with Statistics, Machine Learning and Predictive Modelling

Amazon is an Equal Opportunity-Affirmative Action Employer - Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.
Employer Amazon

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