Senior Data Architect

Automat-it is an all-in AWS Premier Partner and Managed Services Provider specializing in the startup ecosystem. With over 800 customers and 500+ AWS certifications, Automat-it brings hands-on expertise in AI, DevOps, and FinOps to empower fast-paced startups to grow, deliver & win. Our customers save significant time-to-market and optimize their cloud performance and costs.

We work across EMEA and the US, fueling innovation and solving complex challenges daily. Join us to grow your skills, shape bold ideas, and help build the future of tech.

We’re looking for a Senior Data & Analytics Architect to join our team and work directly with startup CTOs, engineering teams, and account teams. This is a hands-on, customer-facing architecture role where you will design and deliver production-grade data platforms on AWS.

The role is focused on turning real business problems into working systems, from early discovery and architecture design to supporting implementation. This is not a pure strategy or management role, it’s about making clear technical decisions and ensuring they hold up in production.

 Work location: hybrid from London

If you are interested in this opportunity, please submit your CV in English.

Key Responsibilities:

• Design and deliver end-to-end data platforms on AWS, covering ingestion, storage, processing, and serving layers, including Well-Architected reviews and contribution to SOWs and HLDs
• Work directly with startup customers to understand requirements, challenge assumptions, and shape practical solutions
• Lead technical discussions, workshops, architecture reviews, and POCs
• Translate ideas and early concepts into clear architectures, including HLDs, SOWs, and implementation direction
• Make and explain trade-offs across cost, performance, scalability, and complexity
• Stay close to delivery, supporting teams to ensure solutions are implemented correctly
• Collaborate with Data Engineers, DevOps, Solution Architects and Account Managers to move projects from concept to production
• Contribute to internal standards, reusable patterns, and reference architectures
• Operate in a fast-paced, project-based environment with multiple customer engagements
• Stay up to date with modern Data Engineering and Analytics practices, and contribute to internal enablement, patterns, and knowledge sharing
• Work in a customer-facing environment that includes occasional travel, both locally for meetings and events, and internationally around once per quarter

What Success Looks Like in Year One:

• Customers consistently receive well-structured data architectures on AWS (SOWs, HLDs) that are scalable, cost-efficient, and production-ready
• You are confidently leading customer engagements end-to-end, from early discovery through to validated architecture and delivery alignment
• Pre-sales support becomes a clear strength, with direct impact on pipeline quality and deal conversion alongside the account management team
• You have contributed to reusable data patterns, reference architectures, or internal standards that improve consistency and speed of delivery
• You have represented Automat-it in at least one external setting (workshop, webinar, or event), contributing to the company’s visibility in the data and AWS ecosystem
• You’ve built strong working relationships with startup customers and AWS stakeholders, becoming a trusted technical partner in both architecture and execution

Why Join Automat-it?:

Be at the Forefront of Cloud Innovation

 Join a global leader and AWS Premier Tier Services Partner. We don't just use the cloud; we master it. As an All-In AWS partner, you’ll work with the most sophisticated tech stacks and help maintain our status as a top-tier collaborator in the global ecosystem.

Work on Meaningful, Large-Scale Impact

We specialize in helping startups and scaleups scale at speed. By joining us, you’ll be part of a team that has successfully completed hundreds of complex projects, directly influencing the growth of the next generation of unicorns through our unique "Product-based Professional Services" approach.

Accelerate Your Career Trajectory

In our fast-paced, dynamic environment, "growth" isn't just a buzzword. You will have:

• Clear Progression: Defined career paths from engineering to leadership.
• Continuous Learning: Sponsored AWS certifications and access to internal "Expert-led" knowledge sharing.
• Cutting-Edge Exposure: Early access to beta AWS features and high-level architectural challenges.

Thrive in a Culture of Excellence

We pride ourselves on a collaborative, supportive, and transparent culture. You’ll work alongside and learn from some of the industry’s brightest architects and DevOps engineers who are committed to mentorship and collective success, including AWS Gold Jacket recipients.

Global Reach, Boutique Feel

With over 250 employees across EMEA and the USA, enjoy the stability of a mature, profitable company with the agility and spirit of a startup. Whether you are working on GenAI & Agentic use cases, DevOps automation, FinOps optimization, or Kubernetes migrations, your voice is heard, and your contributions are visible.

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.

REQUIREMENTS

• 3+ years of hands-on experience with AWS, including solution design, migration, and production systems
• 2+ years in customer-facing technical roles, for example Cloud Architect, SRE, or Customer Engineer, working directly with stakeholders
• Solid understanding of modern data architectures, including batch, streaming, and lakehouse patterns
• Practical experience with core AWS data services, such as S3, Glue, Redshift, Kinesis or MSK, EMR, Athena, Lambda, and IAM
• Familiarity with broader AWS infrastructure, including networking, IAM, and compute patterns
• Experience working with real-time or near real-time data processing
• Strong grasp of data modeling, pipelines, and storage optimization
• Ability to reason about trade-offs, not just select tools
• Ability to lead end-to-end technical engagements, from discovery through delivery
• Comfort operating in fast-moving environments with ambiguous requirements
• Clear communication skills, able to explain technical decisions to both technical and non-technical stakeholders
• Strong communication skills in English. Spanish is a plus
• Basic understanding of security and access control in AWS environments
• Experience writing HLDs, SOWs, and supporting pre-sales engagements
• Experience with ETL processes, data lakes, and pipelines

Nice to Have

• Experience with Iceberg, dbt, or similar modern data tooling
• Familiarity with Kubernetes, Docker, Terraform, and CI/CD pipelines
• AWS certifications (Solutions Architect, Data Analytics, or similar)