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Senior Analytics Solution Architect, UK & Ireland, AWS Global Sales Specialists

职能解决方案架构师
级别资深
地点London, United Kingdom
方式现场办公
类型全职
发布2个月前
立即申请

福利待遇

Learning Budget

弹性工作

Remote Work

必备技能

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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关于Amazon

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+

员工数

Seattle

总部位置

$1.5T

企业估值

评价

10条评价

3.4

10条评价

工作生活平衡

2.5

薪酬

4.2

企业文化

3.0

职业发展

3.8

管理层

2.7

65%

推荐率

优点

Great benefits and competitive pay

Learning and advancement opportunities

Good teamwork and colleagues

缺点

High pressure and long hours

Poor work-life balance

Toxic work culture and management issues

薪资范围

4个数据点

L2

L6

L3

L4

L5

L2 · Data Analyst L2

0份报告

$108,330

年薪总额

基本工资

$43,332

股票

$54,165

奖金

$10,833

$75,831

$140,829

面试评价

6条评价

难度

4.0

/ 5

时长

21-35周

体验

正面 0%

中性 17%

负面 83%

面试流程

1

Application Review

2

Recruiter Screen

3

Online Assessment

4

Technical Phone Screen

5

Technical Interview

6

Onsite/Virtual Interviews

常见问题

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge