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- Tasks: Lead data migration initiatives and design scalable data platforms on AWS.
- Company: Join Quantiphi, an award-winning AI-first digital engineering company.
- Benefits: Enjoy remote work, competitive salary, and opportunities for professional growth.
- Other info: Be part of a dynamic team with excellent career advancement opportunities.
- Why this job: Shape the future of AI and cloud innovation while tackling complex business challenges.
- 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 digital engineering and consulting company focused on delivering high-impact Services and Solutions that help organizations solve what truly matters. We partner with enterprises to reimagine their businesses through intelligent, scalable, and transformative AI—driving measurable outcomes at the very core of their operations. Since our founding in 2013, Quantiphi has tackled some of the world’s most complex business challenges by combining deep industry expertise, disciplined cloud and data engineering practices, and cutting-edge applied AI research. As an Elite and Premier partner to leading cloud and AI platforms such as NVIDIA, Google Cloud, AWS, and Snowflake, we build and deliver enterprise-grade AI services and solutions that create real-world impact.
We offer first-in-class industry solutions across Healthcare, Financial Services, Consumer Goods, Manufacturing, and more, powered by cutting-edge Generative AI and Agentic AI accelerators. Be part of a trailblazing team that’s shaping the future of AI, ML, and cloud innovation.
Role: Cloud Data Architect (AWS) Full Time
Location: Remote (UK)
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.
- 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.
- 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.
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-platform data integration.
INGENIERO/A DATA CLOUD (HIBRIDO) employer: Quantiphi
Contact Detail:
Quantiphi Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land INGENIERO/A DATA CLOUD (HIBRIDO)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at local meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Prepare for those interviews! Research Quantiphi and their projects, especially around AWS and data migration. We want to show them that we’re not just another candidate, but someone who genuinely understands their mission and can contribute to their goals.
✨Tip Number 3
Practice makes perfect! Do mock interviews with friends or use online platforms. We need to be ready to articulate our experience with database migrations and AWS services clearly and confidently.
✨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 familiar faces from our community!
We think you need these skills to ace INGENIERO/A DATA CLOUD (HIBRIDO)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Cloud Data Architect. Highlight your experience with AWS, data migration, and any relevant projects that showcase your skills in database migrations and data engineering.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and cloud innovation, and how your background aligns with our mission at Quantiphi. Keep it concise but impactful!
Showcase Your Technical Skills: Don’t forget to highlight your technical expertise in SQL, ETL processes, and AWS services like Glue and Redshift. We want to see how you can contribute to our cutting-edge solutions, so be specific about your skills!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates!
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 Engineering Skills
Prepare to talk about your experience with ETL processes and data pipeline development. Have specific examples ready that highlight your proficiency in tools like PySpark and your ability to optimise performance in data migrations.
✨Understand the Business Impact
Quantiphi is all about delivering measurable outcomes. Think about how your work in data migration has positively impacted businesses in the past. Be ready to share stories that demonstrate your understanding of aligning technical solutions with business goals.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about Quantiphi's approach to AI and cloud innovation. This shows your genuine interest in the company and helps you gauge if it's the right fit for you.