
Work hard. Have fun. Make history.
Senior Analytics Solution Architect, UK & Ireland, AWS Global Sales Specialists
福利厚生
•Learning Budget
•フレックスタイム
•Remote Work
必須スキル
Cloud computing
Technical consulting
Solution architecture
Revolutionize data solutions by bridging technical expertise with customer-centric innovation. Transform complex data challenges into elegant cloud-based architectures that empower organizations to unlock their full potential.
You'll be a strategic partner in helping customers reimagine their data infrastructure, designing revolutionary cloud solutions that drive business transformation. By combining deep technical knowledge with collaborative problem-solving, you'll help organizations navigate their most complex data challenges and create scalable, efficient analytics platforms.
You will be joining a passionate group of technical experts dedicated to pushing the boundaries of cloud computing. Our team thrives on solving complex problems, sharing knowledge, and supporting customers in their digital transformation journeys. We believe in continuous learning and creating meaningful impact through technology.
Key job responsibilities
Collaborate with sales teams to design comprehensive cloud-based data solutions for diverse customer needs
Develop reference architectures and best practice documentation that showcase innovative approaches to data management
Engage with customers as a trusted technical advisor, translating complex technical concepts into actionable strategies
Create thought leadership content that demonstrates expertise in data analytics and cloud technologies
Partner with global technical specialists to develop and refine customer solution strategies
About the team
AWS Values Your Experience:
We encourage all candidates to apply, regardless of whether you meet every qualification listed. Whether you're early in your career, have followed a non-traditional path, or bring alternative experiences - we want to hear from you.
Why AWS?
As the world's most comprehensive and broadly adopted cloud platform, Amazon Web Services (AWS) pioneered cloud computing and continues to innovate. From ambitious startups to Global 500 companies, organizations trust our robust suite of products and services to power their businesses.
Inclusive Culture
Learning and curiosity are fundamental to AWS. Our employee-led affinity groups foster an inclusive environment where differences are celebrated. Through continuous learning experiences and events, we create spaces where everyone can bring their authentic selves to work.
Professional Development
As we work toward our goal of becoming Earth's Best Employer, we invest heavily in our people. You'll have access to extensive knowledge-sharing opportunities, mentorship programs, and career development resources to help you grow professionally.
Work/Life Harmony
Success at work shouldn't require compromise in personal life. We promote flexibility in our working culture and support a balanced approach to career and personal commitments. When people feel supported both professionally and personally, innovation thrives.
Basic Qualifications
- Experience in IT development or implementation/consulting in the software or Internet industries
- Experience within specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics).
- Experience in design, implementation, or consulting in applications and infrastructures
- Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients
Preferred Qualifications
- Experience with one or more analytics visualization tools (e.g., Excel, Tableau, Quick Sight, MicroStrategy, PowerBI)
- Experience using dashboarding tools for exploration and presentation, connected to real data sources
- Experience implementing AWS/cloud services
- Cloud Technology Certification, or AWS certification, such as, AWS Solutions Architect, or a similar cloud certification
- Experience in infrastructure architecture, database architecture and networking
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
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
PublicAmazon.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
10件のレビュー
3.4
10件のレビュー
ワークライフバランス
2.5
報酬
4.2
企業文化
3.0
キャリア
3.8
経営陣
2.7
65%
知人への推奨率
良い点
Great benefits and competitive pay
Learning and advancement opportunities
Good teamwork and colleagues
改善点
High pressure and long hours
Poor work-life balance
Toxic work culture and management issues
給与レンジ
4件のデータ
L2
L6
L3
L4
L5
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
面接レビュー
レビュー6件
難易度
4.0
/ 5
期間
21-35週間
体験
ポジティブ 0%
普通 17%
ネガティブ 83%
面接プロセス
1
Application Review
2
Recruiter Screen
3
Online Assessment
4
Technical Phone Screen
5
Technical Interview
6
Onsite/Virtual Interviews
よくある質問
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
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