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Sr. Specialist Solutions Architect, Data, WWSO Startup, AWS

Amazon

Sr. Specialist Solutions Architect, Data, WWSO Startup, AWS

Amazon

Singapore, SGP

·

On-site

·

Full-time

·

1mo ago

必須スキル

AWS

Go

Are you a customer-obsessed builder with a passion for helping customers achieve their full potential? Are you passionate about data and how it can revolutionize the way startups operate? Do you have the business savvy, Data background in a fast moving environment, and consulting skills necessary to help position AWS as the cloud provider of choice for Startups? Do you love building new strategic and data-driven businesses? Join the Worldwide Specialist Organization (WWSO) Startup team as a GTM Specialist Solutions Architect!

The Worldwide Specialist Organization (WWSO) is part of AWS Sales, Marketing, and Global Services (SMGS), which is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector. We work backwards from our customer’s most complex and business critical problems to build and execute go-to-market plans that turn AWS ideas into multi-billion-dollar businesses. WWSO teams include business development, specialist and technical solutions architecture. As part of WWSO, you'll provide expertise across the entire life cycle of an AWS customer initiative, from developing ideas for new services to accelerating the adoption of established businesses. We pride ourselves on thinking big, delivering exceptional results for our customers, and working across AWS as #One Team.

  • Key job responsibilities
  • Interact at the CxO/VP level, as well as with developers and technical architects, to ease adoption, develop pipeline, secure lighthouse customers, drive top-line revenue, and explore strategic partnerships.
  • Become a trusted advisor within customer accounts through Technical Thought Leadership.
  • Develop and deploy programs that leverage AWS Field Solution Architect teams, as well as technology and consulting partner channels.
  • Collaborate with AWS Product and Technical teams to create solutions that solve customer problems, including reference architectures, patterns, automation, and release plan.
  • Guide and Support an AWS internal community of technical subject matter experts aligned to your domains. Create field enablement materials for the broader SA population to help them understand how to integrate new AWS solutions into customer architectures.
  • Leverage your deep technical expertise in databases to understand the most important customer problems in the Startup space and enable account aligned teams in the field to solve them.

A day in the life
Learn more about being a Solutions Architect at Amazon Web Services: https://www.youtube.com/watch?v=Js21xKMFdww

Diverse Experiences
AWS 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.

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 Amaze Con conferences, inspire us to never stop embracing our uniqueness.

Mentorship & 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.

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.

About the team
This position is part of the Amazon Specialist and Partner Organization (ASP). Specialists own the end-to-end go-to-market strategy for their respective technology domains, providing the business and technical expertise to help our customers succeed. Partner teams own the strategy, recruiting, development, and growth of our key technology and consulting partners. Together they provide our customers with the expertise and scale needed to build innovative solutions for their most complex challenges.

The WWSO team helps customers adopt our newest and most advantageous technologies. We are technology specialists. The WWSO Startup team is a team dedicated to helping Startups scale quickly and cost-effectively on AWS. We want Startups to grow better when they choose AWS and we make it easier by recommending the right technologies and then by helping Startups get up and running quickly.
This position specifically is part of the WWSO Startup team, where you will be a Specialist Solution Architect that helps Startups adopt AWS’ technologies with a focus on Amazon’s Data solutions, among others. You will 1/Be the best storytellers and technologists, 2/Work with the most promising Startups, 3/Scale tech knowledge via products, programs, and the AWS Field, and 4/Gather critical Startup feedback to inform our product roadmaps.

Basic Qualifications

  • 7+ years of data engineering experience
  • 5+ years customer-facing experience
  • 5+ years of experience designing and building comprehensive data strategies, including architecting data lakes, implementing data engineering best practices, and advising customers on modern data platform approaches

Preferred Qualifications

  • Startup background and experience at a VC or PE-backed firm in a Technical Executive capacity.
  • Strong data-based storytelling skills with a high degree of comfort speaking with Startup executives and developers.
  • Cloud expertise as demonstrated by one or more cloud certifications.
  • Demonstrated ability to adapt to new technologies and learn quickly.
  • Proficiency with design, deployment, and evaluation of LLM-powered agents and tools and orchestration approaches.
  • Advanced degree highly preferred such as engineering, computer science, or MIS a plus.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

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Amazonについて

Amazon

Amazon

Public

Amazon.com, Inc. is an American multinational technology company engaged in e-commerce, cloud computing, online advertising, digital streaming, and artificial intelligence.

10,001+

従業員数

Seattle

本社所在地

$1.5T

企業価値

レビュー

2.9

10件のレビュー

ワークライフバランス

2.8

報酬

3.7

企業文化

2.5

キャリア

2.3

経営陣

2.1

35%

友人に勧める

良い点

Good pay and compensation

Strong benefits package

Flexible scheduling options

改善点

Poor management and leadership

Limited growth and promotion opportunities

High stress and demanding work environment

給与レンジ

4件のデータ

L2

L3

L4

L5

L6

L2 · Data Analyst L2

0件のレポート

$108,330

年収総額

基本給

$43,332

ストック

$54,165

ボーナス

$10,833

$75,831

$140,829

面接体験

10件の面接

難易度

3.7

/ 5

期間

21-35週間

内定率

20%

体験

ポジティブ 10%

普通 10%

ネガティブ 80%

面接プロセス

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Onsite/Virtual Loop

6

Team Matching

7

Offer

よくある質問

Coding/Algorithm

System Design

Behavioral/STAR

Leadership Principles

Technical Knowledge