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Amazon Senior Solutions Architect - Analytics & AI, AGS-NAMER-US-COV-SPEC-SA-Data&AI-Analytics in New York, New York

Description

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.

At Amazon we’ve been using AI-based products for over 20 years. Want to make history? We believe that Data is your Generative AI differentiator. Looking to solve some of the world’s most challenging data problems at scale? Come and join the AWS Analytics team – where we help our customers build and govern some of the world’s largest data lakes, massively parallel data warehouses, and some of the biggest and fastest streaming pipelines. 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 directly with our customer’s technical and business leaders, joining forces with Account Managers, Business Development, and Service Teams to enable customer adoption and growth.

AWS Specialist Solutions Architects (SSAs) are technologists with deep domain-specific expertise, able to address advanced concepts and feature designs. As part of the AWS sales organization, SSAs work with customers who have complex challenges that require expert-level knowledge to solve. SSAs craft scalable, flexible, and resilient technical architectures that address those challenges. This might involve guiding customers as they refactor an application or designing entirely new cloud-based systems. Do you enjoy solving novel and unique technical challenges for customers? Become an AWS Specialist SA!

The Area Specialist Team is made up of deep domain experts who work directly with our customers to solve their most complex challenges. We are part of the Account Team, responsible for account planning, opportunity identification, and pursuit. We stay closely connected to our customers and bring valuable data and insights to our product teams, strengthening the product roadmap. Our team is at its best when a customer is thinking big and needs specialized experience to innovate for their business.

Key job responsibilities

  • Provide customers with deep technical expertise in your domain to advance adoption of AWS products in service to customer goals.

  • Collaborate with specialist, sales, marketing, and products teams to ideate around your customers’ most challenging business problems.

  • Act as a trusted advisor to line of business and C-suite leaders.

  • Lead architectural reviews and workshops to advance your customer’s technical objectives.

  • Act as a thought leader sharing best practices through forums such as AWS blogs, whitepapers, reference architectures and public-speaking events such as AWS Summit, AWS re: Invent, etc. Participate as a leader in AWS technical communities.

  • Educate customers on the value proposition of AWS, and participate in architectural discussions to ensure solutions are designed for successful deployment in the cloud.

  • Provide data and anecdotes on what is working and what is not back to the larger specialist community and product teams. Act as primary point of contact for urgent customer issues in your technical specialty.

About the team

Diverse Experiences

Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job

description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or

includes alternative experiences, don’t let it stop you from applying.

Why AWS

Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered

cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500

companies trust our robust suite of products and services to power their businesses.

Work/Life Balance

We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is

why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home,

there’s nothing we can’t achieve in the cloud.

Inclusive Team Culture

Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion

that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations

on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our

uniqueness.

Mentorship and Career Growth

We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find

endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-

rounded professional.

We are open to hiring candidates to work out of one of the following locations:

Boston, MA, USA | Dallas, TX, USA | Minneapolis, MN, USA | New York, NY, USA

Basic Qualifications

  • 7+ years of design, implementation, or consulting in applications and infrastructures experience

  • 5+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience

  • Bachelor's degree

  • 5+ years of technology/software sales experience

  • 3+ years of 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 Qualifications

  • Knowledge of AWS services, market segments, customer base and industry verticals

  • Experience working with end user or developer communities

  • 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 Engineering

  • Deep understanding of data, application, server, and network security

  • Experience delivering analytic solutions for AI workloads

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.

Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $122,900/year in our lowest geographic market up to $239,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits. This position will remain posted until filled. Applicants should apply via our internal or external career site.

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