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: Impactful work, remote flexibility, and opportunities for professional growth.
- Other info: Collaborate with top talent and tackle complex challenges in tech.
- Why this job: Shape the future of AI and cloud innovation with a trailblazing team.
- Qualifications: 8+ years in database migration and strong AWS expertise required.
The predicted salary is between 80000 - 100000 € per year.
About Quantiphi: 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. Our work is rooted in delivering accelerated, quantifiable business value, not just technology for technology's sake.
Headquartered in Boston, Quantiphi is a global organization with 4,000+ professionals serving clients across key industry verticals, including BFSI, Healthcare & Life Sciences, CPG, MFG, TME etc. 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 have been recognized with 17x Google Cloud Partner of the Year awards in the last 8 years, 3x AWS AI/ML award wins, 3x NVIDIA Partner of the Year titles, and 2x Snowflake Partner of the Year awards. We have also garnered top analyst recognitions from Gartner, ISG, and Everest Group. 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. We have been certified as a Great Place to Work for the third year in a row - 2021, 2022, 2023.
Be part of a trailblazing team that’s shaping the future of AI, ML, and cloud innovation. Your next big opportunity starts here!
Role: Cloud Data Architect
Experience Level: 8-10+ years
Work Location: United Kingdom (Remote)
Job Overview: 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.
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 (Database Migration Service), AWS SCT (Schema Conversion Tool), AWS Glue (ETL & data integration), Amazon Redshift (data warehousing).
- 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 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's in it for YOU at Quantiphi:
- Make an impact at one of the world's fastest-growing AI-first digital engineering companies.
- Upskill and discover your potential as you solve complex challenges in cutting-edge areas of technology alongside passionate, talented colleagues.
- Work where innovation happens - work with disruptive innovators in a research-focused organization with 60+ patents filed across various disciplines.
- Stay ahead of the curve—immerse yourself in breakthrough AI, ML, data, and cloud technologies and gain exposure working with Fortune 500 companies.
Cloud Data Architect in Glasgow employer: LinkedIn
Quantiphi is an exceptional employer that fosters a culture of innovation and collaboration, making it an ideal place for Cloud Data Architects to thrive. With a commitment to employee growth through continuous learning opportunities and exposure to cutting-edge technologies, team members are empowered to tackle complex challenges while working remotely from the UK. Join a company recognised as a Great Place to Work, where your contributions directly impact transformative AI solutions for leading global enterprises.
StudySmarter Expert Advice🤫
We think this is how you could land Cloud Data Architect in Glasgow
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at local meetups. 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 and achievements. This gives potential employers a taste of what you can do beyond your CV.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to cloud data architecture. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are genuinely interested in joining our team.
We think you need these skills to ace Cloud Data Architect in Glasgow
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 migrations, 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 AI and cloud technologies. Share specific examples of your past work that align with our mission at Quantiphi. Let us know why you’re the perfect fit!
Showcase Your Technical Skills:Don’t hold back on showcasing your technical expertise! Mention your hands-on experience with AWS services like DMS, Glue, and Redshift. We love seeing candidates who can demonstrate their knowledge in practical ways.
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people. Don’t miss out on this opportunity!
How to prepare for a job interview at LinkedIn
✨Know Your Tech Inside Out
Make sure you’re well-versed in AWS services like DMS, Glue, and Redshift. Brush up on your knowledge of cross-platform migrations and be ready to discuss specific projects where you’ve successfully executed data migration strategies.
✨Showcase Your Problem-Solving Skills
Quantiphi values innovative solutions, so prepare to share examples of how you've tackled complex data challenges. Think about times when you had to optimise performance or ensure data integrity during migrations—these stories will highlight your expertise.
✨Understand the Business Impact
Be ready to explain how your technical skills translate into business value. Quantiphi focuses on delivering measurable outcomes, so think about how your work has positively impacted previous organisations and be prepared to discuss this in detail.
✨Ask Insightful Questions
Prepare thoughtful questions that show your interest in Quantiphi’s projects and culture. Inquire about their approach to AI and cloud innovation, or ask how they measure success in their data migration initiatives. This demonstrates your enthusiasm and engagement.
