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For Companies At a Glance
- Tasks: Lead AWS data migration projects and design scalable data platforms.
- Company: Join a forward-thinking tech company focused on cloud innovation.
- Benefits: Remote work, competitive salary, and opportunities for professional growth.
- Other info: Dynamic remote environment with a focus on collaboration and innovation.
- Why this job: Make a significant impact in cloud data engineering and migration.
- Qualifications: 8+ years in database migration with strong AWS skills.
The predicted salary is between 80000 - 100000 £ per year.
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.
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 (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.
Required Skills
- 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).
- Strong hands‑on expertise with AWS DMS, AWS SCT, AWS Glue, and Amazon Redshift.
- 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.
Nice to Have
- 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.
Cloud Data Architect in London employer: Quantiphi
Contact Detail:
Quantiphi Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Cloud Data Architect in London
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or even just grab a coffee with someone who’s already in the role you want. We can’t stress enough how valuable personal connections can be in landing that dream job.
✨Show Off Your Skills
Don’t just talk about your experience; showcase it! Create a portfolio or a GitHub repository with projects that highlight your AWS data migration skills. We love seeing practical examples of what you can do, so make sure to flaunt your expertise!
✨Ace the Interview
Prepare for those interviews like it’s a big exam! Research common questions for AWS Data Migration roles and practice your answers. We recommend using the STAR method (Situation, Task, Action, Result) to structure your responses and really impress the interviewers.
✨Apply Through Our Website
When you find a role that fits, apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always on the lookout for talented individuals like you to join our team!
We think you need these skills to ace Cloud Data Architect in London
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 DMS, Glue, and data migration strategies. We want to see how your skills align with what we're looking for!
Showcase Your Projects: Include specific projects where you've led data migrations or implemented ETL pipelines. We love seeing real-world examples of your work, so don’t hold back on the details!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Explain why you're passionate about data engineering and how your experience makes you a perfect fit for our team. Let us know what excites you about working with StudySmarter.
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’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Quantiphi
✨Know Your AWS Inside Out
Make sure you brush up on your knowledge of AWS services, especially DMS, SCT, Glue, and Redshift. 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 Migration Experience
Prepare specific examples of end-to-end data migrations you've led. Highlight your role in the assessment, wave planning, and execution phases, and be ready to explain how you ensured data integrity and minimal downtime during these processes.
✨Demonstrate Your Problem-Solving Skills
Think of scenarios where you had to troubleshoot issues during a migration. Be prepared to discuss your approach to problem-solving, including how you implemented monitoring and rollback mechanisms to ensure a smooth transition.
✨Understand Data Governance and Compliance
Familiarise yourself with security, governance, and compliance standards relevant to data migration. Be ready to discuss how you've managed S3-based data lakes and adhered to data governance frameworks in your previous roles.