Cloud Data Architect

Cloud Data Architect

Full-Time 80000 - 100000 € / year (est.) No home office possible
Quantiphi

At a Glance

  • Tasks: Lead data migration initiatives to AWS and design scalable data platforms.
  • Company: Join Quantiphi, a trailblazer in AI-first digital engineering.
  • Benefits: Remote work, competitive salary, and opportunities for professional growth.
  • Other info: Be part of a Great Place to Work with innovative projects.
  • Why this job: Make a real impact in cutting-edge tech with a passionate 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’ve 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 employer: Quantiphi

Quantiphi is an award-winning AI-First digital engineering and consulting company that offers a dynamic work environment focused on innovation and collaboration. As a remote employer based in the UK, we provide our Cloud Data Architects with exceptional growth opportunities, access to cutting-edge technologies, and the chance to work alongside industry leaders in AI and cloud solutions. Join us to make a meaningful impact while enjoying a culture that values creativity, continuous learning, and employee well-being.

Quantiphi

Contact Detail:

Quantiphi Recruiting Team

StudySmarter Expert Advice🤫

We think this is how you could land Cloud Data Architect

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 AWS and data migration. 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 cloud data architecture. Use mock interviews with friends or 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 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 Cloud Data Architect

AWS Data Migration Service (DMS)
AWS Schema Conversion Tool (SCT)
AWS Glue
Amazon Redshift
ETL/Data Pipeline Development
SQL
Data Modelling

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 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 forget to highlight your technical expertise in your application. Mention your hands-on experience with AWS services like DMS, Glue, and Redshift. We love seeing candidates who can demonstrate their knowledge and skills clearly!

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 shows you’re serious about joining our amazing team!

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 those mentioned in the job description like DMS, Glue, and Redshift. Be ready to discuss how you've used these tools in past projects and how they can be applied to data migration strategies.

Showcase Your Migration Experience

Prepare specific examples of your experience with cross-platform database migrations. Highlight challenges you faced, how you overcame them, and the outcomes. This will demonstrate your hands-on expertise and problem-solving skills.

Understand Data Integrity and Compliance

Familiarise yourself with data validation and reconciliation frameworks. Be prepared to discuss how you ensure data integrity during migrations and your approach to adhering to security and compliance standards.

Ask Insightful Questions

Prepare thoughtful questions about Quantiphi's projects and their approach to AI and cloud solutions. This shows your genuine interest in the company and helps you assess if it's the right fit for you.