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 opportunities for continuous learning.
- Other info: Dynamic environment with excellent career growth and upskilling opportunities.
- 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 70000 - 90000 £ 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.
Arquitecto de Datos Cloud, hibrido employer: Quantiphi
Quantiphi is an exceptional employer that fosters a dynamic and innovative work culture, empowering employees to lead transformative data migration initiatives in a hybrid remote setting. With a strong focus on professional growth, employees have access to cutting-edge AI and cloud technologies, alongside opportunities for continuous upskilling and collaboration with industry leaders. Join us in making a meaningful impact while enjoying the flexibility and support that comes with being part of a globally recognised digital engineering company.
StudySmarter Expert Advice🤫
We think this is how you could land Arquitecto de Datos Cloud, hibrido
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to AWS and data migration. It’s a great way to demonstrate your expertise beyond just a CV.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios specific to data architecture and migration. We recommend doing mock interviews with friends or using online platforms to get comfortable.
✨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, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Arquitecto de Datos Cloud, hibrido
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 explain why you're passionate about data engineering and how you can contribute to our team. Be sure to mention specific technologies or methodologies that resonate with the job description.
Showcase Your Projects:If you've worked on any relevant projects, don't hesitate to showcase them! Whether it's a personal project or something from your previous job, we love seeing practical examples of your skills in action.
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It helps us keep track of applications 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 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, the outcomes, and how you ensured data integrity and minimal downtime during the process.
✨Demonstrate Problem-Solving Skills
Quantiphi values innovative solutions, so be prepared to discuss how you've tackled complex data engineering problems. Think of scenarios where you had to design ETL pipelines or optimise performance, and explain your thought process.
✨Ask Insightful Questions
At the end of the interview, have a few thoughtful questions ready about Quantiphi's projects or their approach to AI-driven transformations. This shows your genuine interest in the role and helps you gauge if the company is the right fit for you.
