At a Glance
- Tasks: Lead the design and migration of enterprise-scale data platforms on AWS.
- Company: Join a collaborative tech company focused on cloud-first data transformation.
- Benefits: Enjoy competitive pay, great benefits, and opportunities for career growth.
- Other info: Work in a dynamic team with a focus on agile methodologies.
- Why this job: Make a real impact on large-scale data projects in an innovative environment.
- Qualifications: Proficient in Java, data architecture, and cloud-native solutions.
The predicted salary is between 36000 - 60000 € per year.
We are seeking a highly skilled Senior AWS Data Architect to lead the design, modernization, and migration of enterprise‑scale data platforms on AWS. The ideal candidate will bring deep expertise in data architecture, cloud‑native database solutions, and large‑scale data migration initiatives, while working closely with engineering, DevOps, and business stakeholders in an agile environment.
Key Responsibilities:
- Design, develop, and maintain cloud‑native data architectures aligned with business and technical requirements.
- Define and implement data decomposition patterns, ensuring optimal scalability, performance, and maintainability.
- Create and maintain Logical Data Models (LDMs) and Physical Data Models (PDMs), including ER diagrams, normalization, and cardinality definitions.
- Lead and execute data migration strategies using AWS Database Migration Service (DMS) and AWS Schema Conversion Tool (SCT).
- Work with cross‑functional teams to modernize legacy database systems and migrate them to AWS‑managed and cloud‑native databases.
- Develop and maintain server‑side applications using Java (Java 17+), Spring Boot (2.5+), and Spring Framework (5+).
- Implement solutions leveraging polymorphic data types and Abstract Data Types (ADTs) to support complex data structures.
- Architect and optimize data storage solutions using relational, NoSQL, and NewSQL databases.
- Ensure data integrity, security, performance tuning, and cost optimization across all data platforms.
- Establish and enforce best practices for CI/CD pipelines, version control, containerization, and infrastructure observability.
- Collaborate in an agile delivery environment, contributing to sprint planning, technical design reviews, and architectural governance.
Required Technical Skills:
- Programming & Frameworks: Strong proficiency in Java (Java 17 or later), expertise in Spring Boot (2.5+) and Spring Framework (5+), advanced knowledge of data decomposition patterns, strong experience with ER modeling, normalization, and cardinality, proficiency in Logical and Physical Data Models (LDMs and PDMs).
- Data Types & Structures: Hands‑on experience with polymorphic data types, strong understanding of Abstract Data Types (ADTs), extensive experience with AWS DMS and AWS SCT, strong working knowledge of AWS RDS, Redshift, and Glue.
- Databases: NoSQL: DynamoDB, MongoDB; NewSQL: CockroachDB, Google Spanner (or similar); Optional: IBM DB2.
- Data Migration: Proven experience using data migration testing tools, validation techniques, and reconciliation methodologies.
- DevOps & Tooling: Version control: Git; Monitoring & Logging: Prometheus, Grafana, ELK Stack.
- Soft Skills: Strong analytical and problem‑solving abilities, excellent communication and stakeholder engagement skills, ability to work independently and collaboratively in a fast‑paced agile environment, leadership mindset with the ability to mentor and guide technical teams.
What We Offer:
- Opportunity to work on large‑scale, cloud‑first data transformation projects.
- Collaborative and innovative engineering culture.
- Competitive compensation and benefits.
- Career growth in a cloud and data‑driven organization.
Seniority level: Mid‑Senior level
Employment type: Full‑time
Job function: Information Technology
Industries: IT Services and IT Consulting
AWS Data Architect in England employer: Accolite
Join a forward-thinking organisation that champions innovation and collaboration, where as a Senior AWS Data Architect, you will play a pivotal role in transforming enterprise-scale data platforms. Our dynamic work culture fosters continuous learning and professional growth, offering competitive compensation and benefits while engaging in large-scale cloud-first projects that make a real impact. Located in a vibrant tech hub, we provide an environment that encourages creativity and teamwork, making it an excellent place for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land AWS Data Architect in England
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at local meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that AWS Data Architect role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AWS and data architecture. We love seeing real-world applications of your expertise, so make sure to highlight your best work.
✨Tip Number 3
Prepare for the interview like it’s the final boss level! Research common interview questions for AWS Data Architects and practice your answers. We want you to feel confident and ready to impress the hiring team with your knowledge and experience.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. We’re excited to see how you can contribute to our cloud-first data transformation projects!
We think you need these skills to ace AWS Data Architect in England
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the AWS Data Architect role. Highlight your experience with cloud-native data architectures and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Showcase Your Skills:Don’t just list your skills; demonstrate them! Use specific examples of how you've implemented data decomposition patterns or led data migration strategies. This helps us understand your hands-on experience and problem-solving abilities.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for data architecture and why you’re excited about working with us at StudySmarter. Make it personal and connect your experiences to our mission.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, we love seeing applications come in through our own platform!
How to prepare for a job interview at Accolite
✨Know Your AWS Inside Out
Make sure you brush up on your AWS knowledge, especially around services like RDS, Redshift, and Glue. Be ready to discuss how you've used these tools in past projects, as well as your experience with AWS DMS and SCT for data migration.
✨Showcase Your Data Modelling Skills
Prepare to talk about your experience with Logical and Physical Data Models. Bring examples of ER diagrams you've created and be ready to explain your approach to normalization and cardinality definitions.
✨Demonstrate Your Coding Proficiency
Since strong Java skills are a must, be prepared to discuss your experience with Java 17+, Spring Boot, and the Spring Framework. You might even want to review some coding challenges or projects that highlight your programming abilities.
✨Emphasise Collaboration and Leadership
This role requires working closely with cross-functional teams, so be ready to share examples of how you've successfully collaborated in an agile environment. Highlight any leadership experiences where you've mentored others or contributed to sprint planning.
