At a Glance
- Tasks: Lead data migration initiatives to AWS, ensuring data integrity and minimal downtime.
- Company: Join Quantiphi, an award-winning AI-first digital engineering company.
- Benefits: Work remotely, gain hands-on experience with cutting-edge technologies, 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 by solving complex challenges for Fortune 500 companies.
- Qualifications: 8+ years in database migration and data engineering with strong AWS expertise.
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 Coventry employer: Quantiphi
Quantiphi is an exceptional employer that fosters a dynamic and inclusive work culture, empowering employees to lead transformative projects for Fortune 500 companies. With a strong commitment to professional growth, team collaboration, and cutting-edge technology, employees enjoy the unique advantage of working remotely in the UK while being part of an award-winning global team recognised for its innovation and excellence in AI-driven solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Cloud Data Architect - AWS in Coventry
✨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!
✨Tip Number 2
Prepare for those interviews! Research Quantiphi’s projects and values, and think about how your skills as a Cloud Data Architect can help them solve their challenges. Tailor your answers to show you’re the perfect fit!
✨Tip Number 3
Showcase your expertise! Create a portfolio or GitHub repository with examples of your work, especially any data migration projects you've led. This will give you an edge and demonstrate your hands-on 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. Plus, it shows you’re genuinely interested in joining the team at Quantiphi!
We think you need these skills to ace Cloud Data Architect - AWS in Coventry
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 data engineering and how you can contribute to our team. Be sure to mention specific experiences that relate to the job description.
Showcase Your Technical Skills:Don’t forget to highlight your technical skills in your application. Mention your proficiency in SQL, Python, and any AWS services you've worked with. We love seeing candidates who are hands-on with the tools we use!
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and it helps us keep track of your application. Plus, we can't wait to see what you bring to the table!
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 or optimised data pipelines using AWS Glue or PySpark, and be ready to explain the impact of your work on the overall project.
✨Demonstrate Problem-Solving Abilities
Quantiphi values problem solvers, so come prepared with examples of complex challenges you've tackled in previous roles. Use the STAR method (Situation, Task, Action, Result) to structure your answers and clearly illustrate your thought process.
✨Understand Their Business Impact
Research Quantiphi's projects and their impact on clients. Be ready to discuss how your role as a Cloud Data Architect can contribute to their mission of solving meaningful problems for Fortune 1000 companies, and how your skills align with their goals.
