At a Glance
- Tasks: Lead end-to-end data migration initiatives to AWS and design scalable data platforms.
- Company: Join Quantiphi, an award-winning AI-first digital engineering company.
- Benefits: Work remotely, gain hands-on experience, and enjoy a collaborative culture.
- Other info: Be part of a fast-growing team with excellent career growth opportunities.
- Why this job: Make a real impact with Fortune 500 companies and cutting-edge technologies.
- Qualifications: 8+ years in database migration and strong AWS data engineering skills.
The predicted salary is between 80000 - 100000 € per year.
About Quantiphi: Quantiphi is an award-winning, AI-First global digital engineering company that helps the world’s leading Fortune 1000 organizations transform bold ideas into measurable business impact. We go beyond building innovative AI technologies—we solve the problems that matter most to our clients. Since our founding in 2013, Quantiphi has built a proven track record of turning complex challenges into meaningful outcomes across industries. Headquartered in Boston, with more than 4,000 professionals worldwide, we partner with global enterprises to deliver large-scale digital, cloud, and AI-driven transformation.
We are an Elite and Premier partner to Google Cloud, AWS, NVIDIA, Snowflake, and other leading technology platforms, and our work has been recognized across the industry, including:
- 21 Google Cloud Partner of the Year awards in the past 10 years
- 3 AWS AI/ML Partner of the Year awards
- 3 NVIDIA Partner of the Year awards
- 3 Snowflake Partner of the Year awards
Rated Leaders by Gartner, Forrester, IDC, ISG, Everest Group and other leading analyst firms. Quantiphi delivers First-in-class AI solutions across Life Sciences, Healthcare, Banking, Financial Services, CPG, Manufacturing, Energy, High-Tech, Telecommunications, etc., powered by cutting-edge Generative AI and Agentic AI accelerators. We are also proud to be certified as a Great Place to Work—reflecting our commitment to our people and our culture.
Role: Cloud Data Architect (AWS)
Experience Level: 8+ years
Employment type: Full Time
Location: Remote (UK)
What you will do: We are seeking a highly skilled AWS Data Migration & Data Engineering Consultant to lead end-to-end data migration initiatives across on-prem, cloud, and multi-cloud environments into AWS. This role focuses on defining and executing data migration strategies, including assessment, wave planning, migration execution, and post-migration stabilization, while ensuring data integrity, minimal downtime, and alignment with business SLAs. The ideal candidate brings strong experience in cross-platform database migrations (Oracle, SQL Server, MySQL, or cloud-native systems) combined with deep expertise in AWS data engineering services and modern data pipeline development.
Key Responsibilities:
- Lead end to end database migrations to AWS from diverse sources, including on-premises systems (e.g., Oracle, SQL Server, MySQL) and other cloud platforms (e.g., GCP, Azure).
- Lead end-to-end data migration strategy and execution, including assessment, dependency mapping, and wave planning.
- Design and implement migration frameworks using AWS DMS, SCT, Glue, and Redshift.
- Define and execute data validation, reconciliation, and cutover strategies ensuring zero/low data loss.
- Enable CDC-based replication and minimal downtime migrations across heterogeneous systems.
- Design and optimize ETL/data pipelines using AWS Glue, PySpark, or EMR.
- Architect and implement scalable, secure, and highly available data platforms on AWS.
- Drive schema conversion and modernization strategies (heterogeneous migrations where applicable).
- Optimize performance of source and target systems pre- and post-migration.
- Manage and govern S3-based data lakes and metadata using Glue Data Catalog.
- Collaborate with application, infrastructure, and analytics teams for seamless migration and stabilization.
- Implement monitoring, rollback, and failure recovery mechanisms.
- Ensure adherence to security, governance, and compliance standards.
Basic Qualifications (BQs):
- 8+ years of experience in database migration and data engineering.
- Proven experience in cross-platform data migrations (on-prem to cloud or cloud to cloud).
- Experience designing and implementing data validation and reconciliation frameworks.
- Strong experience in ETL/data pipeline development (Glue, PySpark, EMR, or equivalent).
- Deep proficiency in SQL and data modeling concepts.
- Experience working with S3-based data lakes and Glue Data Catalog.
- Strong understanding of CDC, transaction consistency, and migration cutover strategies.
- Hands-on experience with performance tuning, schema design, and query optimization.
- Proficiency in Python/PySpark and scripting (Shell/Python).
- Experience with Oracle, SQL Server, MySQL, PostgreSQL, or cloud-native databases.
- Strong hands-on expertise with AWS DMS, AWS SCT, AWS Glue, and Amazon Redshift.
Other Qualifications (OQs):
- Exposure to real-time replication tools (e.g., GoldenGate or equivalent).
- Database Administration (DBA) expertise, including backup & recovery strategies, HA/DR design, database patching and upgrades, lifecycle management, capacity planning, performance monitoring, and security hardening.
- Experience with Lake Formation and data governance frameworks.
- Familiarity with Data Mesh and cross-account data sharing architectures.
- Experience with CI/CD for data pipelines (CodePipeline, Jenkins, etc.).
- Knowledge of Infrastructure as Code (Terraform / CloudFormation).
- AWS Certifications (Solutions Architect / Data Engineer).
- Experience in mentoring teams and leading large-scale migration programs.
What is in it for you: Join one of the world’s fastest-growing AI-first digital engineering companies and make a real impact at scale. Lead and collaborate with a high-energy team of talented, driven individuals solving complex, meaningful challenges. Work with Fortune 500 companies and disruptive innovators in a research-driven environment with 60+ patents. Stay ahead of the curve by gaining hands-on experience with cutting-edge AI, ML, data, and cloud technologies while continuously upskilling.
Cloud Data Architect - AWS in Slough employer: Quantiphi
At Quantiphi, we pride ourselves on being a Great Place to Work, offering a vibrant and inclusive culture that fosters innovation and collaboration. As a Cloud Data Architect, you'll have the opportunity to work remotely from the UK, leading impactful data migration projects for Fortune 500 companies while continuously developing your skills in cutting-edge AI and cloud technologies. Join our dynamic team and contribute to solving meaningful challenges in a supportive environment that values employee growth and well-being.
StudySmarter Expert Advice🤫
We think this is how you could land Cloud Data Architect - AWS in Slough
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn, attend virtual meetups, and don’t be shy about asking for informational interviews. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to AWS and data migration. This gives potential employers a tangible look at what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios specific to cloud data architecture. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your experience effectively.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Cloud Data Architect - AWS in Slough
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Cloud Data Architect role. Highlight your experience with AWS, data migration, and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you're passionate about this role and how your background makes you the perfect fit. Don't forget to mention any specific achievements that demonstrate your expertise.
Showcase Your Technical Skills:Since this role is all about data engineering and migration, make sure to showcase your technical skills clearly. Mention your experience with tools like AWS DMS, Glue, and any programming languages you’re proficient in. We love seeing hands-on experience!
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing candidates who take that extra step!
How to prepare for a job interview at Quantiphi
✨Know Your AWS Inside Out
Make sure you brush up on your AWS knowledge, especially around data migration services like DMS and SCT. Be ready to discuss how you've used these tools in past projects, as well as any challenges you faced and how you overcame them.
✨Showcase Your Data Engineering Skills
Prepare to talk about your experience with ETL processes and data pipeline development. Highlight specific projects where you designed and implemented solutions using AWS Glue or PySpark, and be ready to explain your approach to data validation and reconciliation.
✨Demonstrate Problem-Solving Abilities
Quantiphi values innovative solutions, so think of examples where you tackled complex data migration challenges. Discuss your strategies for ensuring minimal downtime and data integrity during migrations, and how you collaborated with other teams to achieve success.
✨Be Ready for Technical Questions
Expect in-depth technical questions related to database migrations, schema design, and performance tuning. Brush up on SQL and be prepared to solve problems on the spot, as this will showcase your hands-on expertise and analytical skills.
