> Markdown version of [/jobs/ext/3901522-qa-architect-data](https://www.wearedevelopers.com/jobs/ext/3901522-qa-architect-data). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# QA Architect - Data

- **Company:** eMFusion Global
- **Location:** London, United Kingdom
- **Experience:** Expert
- **Salary:** £61,620
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Automation of Tests, Microsoft Azure, Data Validation, Data Governance, Extract Transform Load (ETL), Database Testing, DevOps, Cloud Services, SQL Databases, Web Application Frameworks, Google Cloud, Great Expectations (Foster Youth College-readiness and Support Program), Delivery Pipeline, Snowflake, Data Management, Data Pipelines, Databricks
- **Published:** October 24, 2026
- **Apply:** https://www.adzuna.co.uk/jobs/details/5119759260

## About the Role

12+ years of experience in Data QA, Test Automation, and Data Governance
Strong expertise in SQL, ETL/ELT testing, and data pipeline validation
Automation-first mindset - hands-on with Java/Python frameworks
Deep knowledge of data testing tools (QuerySurge, dbt, Informatica Data Quality)
Experience integrating QA automation with DevOps
Strong leadership, communication, and stakeholder management skills
Why Join?

## Description

Join a leading financial institution as a Senior Data QA Architect, where you'll define and implement cutting-edge data quality strategies across complex data platforms. This role blends hands-on expertise with strategic leadership, offering the chance to shape best practices and mentor a high-performing team.
What You'll Do

Architect & Implement a robust Data QA Strategy & COE
Automate & Optimize data quality testing for ETL/ELT pipelines
Develop & Integrate test automation with DevOps pipelines
Lead & Mentor a global team of Data QA Engineers
Collaborate with Data Engineers & Business Leaders to align data quality initiatives
Own & Enhance data validation frameworks using tools like dbt, QuerySurge, and Great Expectations
Ensure Compliance & Integrity across cloud data platforms (Snowflake, Databricks, Azure, GCP)
What You Bring