AWS Cloud Partner Solutions Architect — EMEA in London

AWS Cloud Partner Solutions Architect — EMEA in London

London Full-Time 60000 - 80000 £ / year (est.) Home office (partial)
United States Digital Space LLC

At a Glance

  • Tasks: Lead AWS cloud solutions across EMEA, driving growth and collaboration.
  • Company: Join a leading data and AI company trusted by top global brands.
  • Benefits: Comprehensive perks, remote work options, and a commitment to diversity.
  • Other info: Exciting travel opportunities across EMEA and dynamic career growth.
  • Why this job: Make a real impact in the cloud space while working with cutting-edge technology.
  • Qualifications: Experience in cloud data solutions and strong technical skills required.

The predicted salary is between 60000 - 80000 £ per year.

As the AWS Cloud Partner Solutions Architect for EMEA, you are the single-threaded technical owner of the AWS alliance across the region. You are the named company counterpart that the AWS field routes opportunities to, the convener of the EMEA AWS SME community, and the author of the "better-together" technical narrative for the company on AWS. You will engage AWS field and partner leadership, the company Field Engineering, and joint customer account teams to drive adoption and consumption of the Data Intelligence Platform on AWS.

What the role owns:

  • AWS-sourced pipeline & EMEA AWS consumption growth — act as the single EMEA-wide SPOC for the AWS field.
  • The EMEA AWS SME community — convene and grow the cross-EMEA group of AWS-deep SAs/SSAs/PSAs.
  • Partner enablement at scale — sustain the training engine that feeds pipeline 2–3 quarters out.
  • Joint product contribution & reference architectures — own the assets that lower time-to-first-DBU and unblock deployments.
  • Strategic-account unblock & multicloud arbitration — lead technical arbitration in EMEA's dense multicloud accounts.
  • Executive alignment & external brand — run QBRs with named AWS regional leaders and be the EMEA technical voice at AWS events.

The impact you will have:

  • Accelerate AWS-sourced pipeline and its conversion to consumption by aligning AWS and the company resources.
  • Shift cloud balance toward AWS across EMEA Diamond and Pearl accounts.
  • Grow field-wide AWS capability through the SME community, certification programmes, and reusable architectures.
  • Develop and sustain senior AWS executive relationships that surface new opportunities.

What we look for:

  • Extensive hands-on experience as a data professional in a modern, cloud-based data stack.
  • Hyperscaler-alliance experience (AWS strongly preferred).
  • AWS-specific technical depth — PrivateLink, VPC Lattice, IAM, networking/CloudFormation, AWS Marketplace, Amazon Bedrock, and Glue Unity Catalog federation.
  • At least 3 years of technical pre-sales / sales-methodology experience within a consumption business model.
  • Ability to collaborate with partner and customer organisations at senior-executive level.
  • Proven ability to run training sessions, workshops, and webinars, and to author technical content.
  • Coding in a core programming language (Python, Java, or Scala); comfort generating infrastructure-as-code.
  • Designing, implementing, and maintaining end-to-end data architectures for Big Data, Data Warehousing, and AI.
  • Managing multiple, frequently changing priorities across multiple teams.

The role requires up to 40% travel across EMEA — to customer and AWS partner sites, AWS EMEA offices, and key partnership moments of the year.

About the company: The company is the data and AI company. More than 10,000 organizations worldwide rely on the company Data Intelligence Platform to unify and democratize data, analytics and AI. The company is headquartered in San Francisco, with offices around the globe.

Benefits: At the company, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees.

Our Commitment to Diversity and Inclusion: At the company, we are committed to fostering a diverse and inclusive culture where everyone can excel.

AWS Cloud Partner Solutions Architect — EMEA in London employer: United States Digital Space LLC

As an employer, the company offers a dynamic and inclusive work culture that prioritises employee growth and development, particularly in the rapidly evolving field of cloud technology. With comprehensive benefits and a commitment to diversity, employees are empowered to thrive while working on cutting-edge projects that drive significant impact across EMEA. The role of AWS Cloud Partner Solutions Architect not only provides opportunities for professional advancement but also allows individuals to engage with top-tier clients and partners, making it a truly rewarding career choice.

United States Digital Space LLC

Contact Details:

United States Digital Space LLC Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land AWS Cloud Partner Solutions Architect — EMEA in London

Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like United States Digital Space LLC!

Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like AWS Cloud Partner Solutions Architect — EMEA at United States Digital Space LLC.

Leverage Professional Networks

Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like United States Digital Space LLC.

Apply Directly through Our Website

When you find a suitable opening like AWS Cloud Partner Solutions Architect — EMEA at United States Digital Space LLC, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace AWS Cloud Partner Solutions Architect — EMEA in London

AWS Technical Depth
Hyperscaler Alliance Experience
CloudFormation
PrivateLink
VPC Lattice
IAM
Amazon Bedrock

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at United States Digital Space LLC, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at United States Digital Space LLC. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at United States Digital Space LLC

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at United States Digital Space LLC!

Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.