Senior Solutions Architect - AWS, AGS-EMEA-Field-North

Amazon
London
1 week ago
Applications closed

Related Jobs

View all jobs

Senior Solutions Architect

Senior Solutions Architect

Senior Solutions Architect

Senior Solutions Architect

Senior Solutions Architect

Senior Solutions Architect

Senior Solutions Architect - AWS, AGS-EMEA-Field-North

Job ID: 2908659 | AWS EMEA SARL (Finland Branch)

Are you passionate about cloud technology and helping customers innovate? Join our AWS Solutions Architecture team in Finland and empower large enterprises across industries to innovate at speed and scale with cloud technologies.

Solutions Architects work hand in hand with AWS customers to help them make the most of the Cloud. They are at the crossroads of business and technology and engage with organizations at all stages of cloud adoption. Solutions Architects are responsible for creating and presenting technical content and sharing best practices.

They work to understand the customer's business needs and give prescriptive guidance on how to create business value with technology. They help customers validate their initiatives from ideation to proof of concept. Solutions Architects lead activities such as architecture reviews, white-boarding sessions, demos and technical workshops. They collaborate with other teams such as account management, professional services, industry experts, support, service teams and the AWS partner ecosystem.

Amongst others you will be part of design and building reference architectures, proof of concepts and deploying workloads on AWS. Deliver thought leadership and recommendations on cloud architecture, migration, modernization and operation. Build strong technical relationships acting as the voice of the customer internally to influence AWS service roadmaps.

Come build the future with us.

AWS Global Sales drives adoption of the AWS cloud worldwide, enabling customers of all sizes to innovate and expand in the cloud. Our team empowers every customer to grow by providing tailored service, unmatched technology, and unwavering support. We dive deep to understand each customer's unique challenges, then craft innovative solutions that accelerate their success. This customer-first approach is how we built the world's most adopted cloud. Join us and help us grow.

About the team
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
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.

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.

BASIC QUALIFICATIONS

- Background in Cloud Architecture, Systems Design, Software Development, Infrastructure Architecture, Data Engineering or DevOps across industries.
- Technical Degree (Computer Science, Maths, Engineering or equivalent) and/or relevant tech experience
- Experience in managing complex sales processes with both technical and non-technical stakeholders
- Demonstrated ability to think strategically about business, product and technical challenges
- English business level communication skills written and verbal

PREFERRED QUALIFICATIONS

- Computer Science or Maths background highly desired
- Working knowledge of software development practices and technologies highly desired
- AWS Certification, eg. AWS Solutions Architect Associate
- Finnish or Estonian business level communication skills written and verbal

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.

Posted:October 13, 2024 (Updated 1 day ago)

Posted:January 14, 2025 (Updated 4 days ago)

Posted:September 25, 2024 (Updated 19 days ago)

Posted:September 30, 2024 (Updated about 1 month ago)

#J-18808-Ljbffr

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Tips for Staying Inspired: How Data Science Pros Fuel Creativity and Innovation

Data science sits at the dynamic intersection of statistics, computer science, and domain expertise, driving powerful innovations in industries ranging from healthcare to finance, and from retail to robotics. Yet, the daily reality for many data scientists can be a far cry from starry-eyed talk of AI and machine learning transformations. Instead, it often involves endless data wrangling, model tuning, and scrutiny over metrics. Maintaining a sense of creativity in this environment can be an uphill battle. So, how do successful data scientists continue to dream big and innovate, even when dealing with the nitty-gritty of data pipelines, debugging code, or explaining results to stakeholders? Below, we outline ten practical strategies to help data analysts, machine learning engineers, and research scientists stay inspired and push their ideas further. Whether you’re just starting out or looking to reinvigorate a long-standing career, these pointers can help you find fresh sparks of motivation.

Top 10 Data Science Career Myths Debunked: Key Facts for Aspiring Professionals

Data science has become one of the most sought-after fields in the tech world, promising attractive salaries, cutting-edge projects, and the opportunity to shape decision-making in virtually every industry. From e-commerce recommendation engines to AI-powered medical diagnostics, data scientists are the force behind innovations that drive productivity and improve people’s lives. Yet, despite the demand and glamour often associated with this discipline, data science is also shrouded in misconceptions. Some believe you need a PhD in mathematics or statistics; others assume data science is exclusively about machine learning or coding. At DataScience-Jobs.co.uk, we’ve encountered a wide array of myths that can discourage talented individuals or mislead those exploring a data science career. This article aims to bust the top 10 data science career myths—providing clarity on what data scientists actually do and illuminating the true diversity and inclusiveness of this exciting field. Whether you’re a recent graduate, a professional looking to pivot, or simply curious about data science, read on to discover the reality behind the myths.

Global vs. Local: Comparing the UK Data Science Job Market to International Landscapes

How to evaluate salaries, opportunities, and work culture in data science across the UK, the US, Europe, and Asia Data science has proven to be more than a passing trend; it is now a foundational pillar of modern decision-making in virtually every industry—from healthcare and finance to retail and entertainment. As the volume of data grows exponentially, organisations urgently need professionals who can transform raw information into actionable insights. This high demand has sparked a wave of new opportunities for data scientists worldwide. In this article, we’ll compare the UK data science job market to those in the United States, Europe, and Asia. We’ll explore hiring trends, salary benchmarks, and cultural nuances to help you decide whether to focus your career locally or consider opportunities overseas or in fully remote roles. Whether you’re a fresh graduate looking for your first data science position, an experienced data professional pivoting from analytics, or a software engineer eager to break into machine learning, understanding the global data science landscape can be a game-changer. By the end of this overview, you’ll be better equipped to navigate the expanding world of data science—knowing which skills and certifications matter most, how salaries differ between regions, and what to expect from distinct work cultures. Let’s dive in.