At a Glance
- Tasks: Lead data migration initiatives and design scalable data platforms on AWS.
- Company: Join an award-winning AI-first digital engineering company transforming global enterprises.
- Benefits: Remote work, competitive salary, and continuous upskilling opportunities.
- Other info: Dynamic environment with excellent career growth and hands-on experience.
- Why this job: Make a real impact with cutting-edge AI and cloud technologies.
- Qualifications: 8+ years in database migration and strong AWS data engineering skills.
The predicted salary is between 60000 - 80000 £ per year.
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. 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 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.
- 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.
- 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.
- Design and optimize ETL/data pipelines using AWS Glue, PySpark, or EMR.
- Architect and implement scalable, secure, and highly available data platforms on AWS.
- Optimize performance of source and target systems pre- and post-migration.
- Manage and govern S3-based data lakes and metadata using Glue Data Catalog.
- Implement monitoring, rollback, and failure recovery mechanisms.
Requirements:
- 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.
- 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.
- AWS DMS (Database Migration Service).
- AWS SCT (Schema Conversion Tool).
- AWS Glue (ETL & data integration).
- Amazon Redshift (data warehousing).
- 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.).
- AWS Certifications (Solutions Architect / Data Engineer).
Join one of the world’s fastest-growing AI-first digital engineering companies and make a real impact at scale. Stay ahead of the curve by gaining hands-on experience with cutting-edge AI, ML, data, and cloud technologies while continuously upskilling.
DATA PROTECTION CLOUD ENGINEER employer: Quantiphi
At Quantiphi, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. As a remote-first company based in the UK, we provide our employees with the flexibility to thrive while working on impactful projects for Fortune 1000 clients. With a strong emphasis on professional growth, we encourage continuous learning and upskilling in cutting-edge AI and cloud technologies, ensuring that our team members are always at the forefront of industry advancements.
StudySmarter Expert Advice🤫
We think this is how you could land DATA PROTECTION CLOUD ENGINEER
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at local meetups. 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 data migration and cloud engineering. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios specific to data protection and cloud engineering. Mock interviews with friends can help you feel more confident and ready to impress.
✨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 DATA PROTECTION CLOUD ENGINEER
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data Protection Cloud Engineer role. Highlight your experience with AWS, data migration, and any relevant projects that showcase your skills. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how your background aligns with our mission at Quantiphi. Keep it engaging and personal—let us know what makes you tick!
Showcase Relevant Skills:Don’t forget to highlight your technical skills, especially in database migrations and data engineering. Mention specific tools and technologies you've worked with, like AWS DMS or Glue, so we can see your expertise in action.
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 track your application status. Plus, we love seeing candidates who take the initiative!
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 Glue. 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 Migration Experience
Prepare specific examples of your experience with cross-platform database migrations. Highlight the strategies you implemented for data validation and reconciliation, and be ready to explain how you ensured minimal downtime during migrations.
✨Demonstrate Problem-Solving Skills
Quantiphi values innovative solutions, so think of scenarios where you had to troubleshoot issues during a migration or data pipeline development. Share your thought process and the steps you took to resolve these problems effectively.
✨Familiarise Yourself with Their Tech Stack
Research Quantiphi's partnerships and technologies, such as Google Cloud and Snowflake. Understanding their tech stack will help you align your skills with their needs and show that you're genuinely interested in the role and the company.
