Senior Data Architect in London

Senior Data Architect in London

London Full-Time 43200 - 72000 £ / year (est.) Hybrid
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At a Glance

  • Tasks: Design and implement innovative data solutions for high-growth startups on AWS.
  • Company: Join Automat-it, an AWS Premier Partner driving results across EMEA.
  • Benefits: Enjoy professional training, international work culture, and fun company events.
  • Other info: Hybrid work from London with excellent career growth opportunities.
  • Why this job: Shape the future of startups with cutting-edge data architecture and analytics.
  • Qualifications: 3+ years in AWS and customer-facing roles; strong communication skills required.

The predicted salary is between 43200 - 72000 £ per year.

Automat-it is an AWS Premier Partner and Strategic Partner delivering hands-on DevOps, FinOps, and GenAI support that drives real results across EMEA. We help high-growth startups move faster, scale smarter, and make the most of the cloud. We are looking for a Senior Data Architect to shape how startups build and scale on AWS. In this role, you’ll design and deliver end-to-end data and analytics solutions—from architecture and pipelines to visualization and insights—guiding customers from concept through production. You’ll work closely with startup founders, technical leaders, and account executives to create scalable, cost-efficient architectures that deliver real business impact.

Work location: hybrid from London. If you are interested, please submit your CV in English.

Responsibilities

  • Design, develop, and implement data & analytics solutions to meet business requirements and create cost-efficient, highly available, and scalable customer solutions, including Well-Architected reviews and SoW.
  • Research and analyze current solutions and initiate improvement plans.
  • Collaborate with other engineers and stakeholders to ensure solutions are designed and developed according to best practices.
  • Lead workshops, POCs, and architecture reviews with startup customers, conferences, webinars, and more.
  • Stay up to date on Data Engineering and Analytics trends and contribute to internal enablement.
  • Frequent travel locally (on-demand to meet with customers and partners) and abroad (at least once a quarter).

Qualifications

  • 3+ years of hands-on experience in AWS, including solution design, migration, and maintenance.
  • 2+ years in customer-facing technical roles (e.g., SRE, Cloud Architect, Customer Engineer).
  • Production experience with AWS infrastructure, data services, and real-time data processing.
  • Skilled in AWS analytics tools (Glue, Athena, Redshift, EMR, Kinesis, MSK, QuickSight, dbt).
  • Understanding of information security best practices.
  • Strong verbal and written communication in English and local language.
  • Ability to lead end-to-end technical engagements and work in fast-paced environments.
  • AWS Solutions Architect – Associate certification.
  • Experience with Kubernetes, CI/CD, and DevOps tools – an advantage.
  • Experience with ETL processes, data lakes, and pipelines – an advantage.
  • Experience writing SOWs, HLDs, and effort estimates – an advantage.
  • AWS Professional or Data Analytics/Data Engineer certifications – an advantage.

Benefits

  • Professional training and certifications covered by the company (AWS, FinOps, Kubernetes, etc.).
  • International work environment.
  • Referral program – enjoy cooperation with your colleagues and get a bonus.
  • Company events and social gatherings (happy hours, team events, knowledge sharing, etc.).
  • Wellbeing and professional coaching.
  • English classes.
  • Soft skills training.

Country-specific benefits will be discussed during the hiring process.

Location: Hybrid from London.

Seniority level: Mid-Senior level.

Employment type: Full-time.

Job function: Engineering and Information Technology.

Industries: IT Services and IT Consulting.

Equal Opportunity

Automat-it is committed to fostering a workplace that promotes equal opportunities for all. We firmly believe that cultivating a diverse workforce is crucial to our success. Our recruitment decisions are grounded in your experience and skills, recognizing the value you bring to our team.

Senior Data Architect in London employer: Automat-it

At Automat‑it, we pride ourselves on being an exceptional employer that fosters innovation and growth within the dynamic startup cloud ecosystem. Our London-based team enjoys a vibrant work culture that encourages collaboration and creativity, alongside opportunities for professional development and international travel. With a strong focus on employee well-being and a commitment to shaping the future of cloud solutions, Automat‑it is the ideal place for those looking to make a meaningful impact in their careers.

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Contact Details:

Automat-it Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Senior Data Architect in London

✨Get Involved in Data Science Meetups

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We think you need these skills to ace Senior Data Architect in London

AWS Solution Design
Data Analytics Solutions
Data Engineering
Real-Time Data Processing
AWS Analytics Tools (Glue, Athena, Redshift, EMR, Kinesis, MSK, QuickSight, dbt)
Information Security Best Practices
Technical Communication Skills

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!

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How to prepare for a job interview at Automat-it

✨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

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✨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.