Cloud Data Architect - AWS

About Quantiphi:

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.

Since our founding in 2013, Quantiphi has built a proven track record of turning complex challenges into meaningful outcomes across industries.

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. #SolvingWhatMatters

We are an Elite and Premier partner to Google Cloud, AWS, NVIDIA, Snowflake, and other leading technology platforms, and our work has been recognized across the industry, including:

• 21 Google Cloud Partner of the Year awards in the past 10 years
• 3 AWS AI/ML Partner of the Year awards
• 3 NVIDIA Partner of the Year awards
• 3 Snowflake Partner of the Year awards
• Rated Leaders by Gartner, Forrester, IDC, ISG, Everest Group and other leading analyst firms

Quantiphi delivers First-in-class AI solutions across Life Sciences, Healthcare, Banking, Financial Services, CPG, Manufacturing, Energy, High-Tech, Telecommunications, etc., powered by cutting-edge Generative AI and Agentic AI accelerators.

We are also proud to be certified as a Great Place to Work—reflecting our commitment to our people and our culture.

For more details, visit: Website or LinkedIn Page

Role: Cloud Data Architect (AWS)

Experience Level: 8+ years

Employment type: Full Time

Location: Remote (UK)

What you will do:

• 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.

Basic Qualifications (BQs):

• 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.
• 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.

• Strong hands-on expertise with:
• AWS DMS (Database Migration Service).
• AWS SCT (Schema Conversion Tool).
• AWS Glue (ETL & data integration).
• Amazon Redshift (data warehousing).

Other Qualifications (OQs):

• 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 is in it for you:

• Join one of the world’s fastest-growing AI-first digital engineering companies and make a real impact at scale.
• Lead and collaborate with a high-energy team of talented, driven individuals solving complex, meaningful challenges.
• Work with Fortune 500 companies and disruptive innovators in a research-driven environment with 60+ patents.
• Stay ahead of the curve by gaining hands-on experience with cutting-edge AI, ML, data, and cloud technologies while continuously upskilling.