About Cognizant Consulting Cognizant Consulting is more than Cognizant's consulting practice-we're a global community of 5,000 experts dedicated to helping clients reimagine their business. Blending deep industry insight with technology advisory expertise, we partner with organisations to build trusted, scalable, and future-ready data platforms. About the role As a Data Quality Architect, you will make an impact by defining and embedding enterprise-grade data quality capabilities across modern data platforms. You will be a valued member of our Technology Consulting team, working closely with client stakeholders, data engineering teams, and solution architects to ensure data quality is measurable, actionable, and integrated into day-to-day data operations and transformation programmes. This role combines deep technical architecture expertise with strong consulting and stakeholder engagement capabilities. In this role, you will: Lead client advisory on data quality strategy, architecture, and solution design across cloud and hybrid data platforms Define and own scalable data quality architectures, including preventive and detective quality controls Translate business objectives, regulatory drivers, and operational risks into pragmatic data quality frameworks and roadmaps Partner with data engineering, migration, and application teams to embed data quality into pipelines, platforms, and CI/CD processes Communicate data quality insights, trends, and remediation options to both technical and executive audiences Work model We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role's business requirements, this is a hybrid position requiring 3 days a week in a client or Cognizant office. Regardless of your working arrangement, we are here to support a healthy work-life balance though our various wellbeing programs. What you must have to be considered Significant experience in data quality, data architecture, or analytics roles within complex data environments Hands-on experience designing data quality architectures and frameworks across modern data platforms Experience working with AWS-based data services, including data cataloguing and data quality tooling Proven ability to advise clients, facilitate workshops, and drive prioritisation of data quality issues and remediation Strong communication skills, with the ability to translate technical data quality concepts into business-relevant insights These will help you succeed Experience supporting data migration or platform modernisation programmes Exposure to embedding data quality controls into ETL pipelines and CI/CD workflows Familiarity with data quality dimensions, thresholds, and business-aligned metrics Consulting or client-facing delivery experience across multiple stakeholder groups Experience producing executive-ready reports, assessments, or data quality dashboards We're excited to meet people who share our mission and can make an impact in different ways. Don't hesitate to apply, even if you only meet the minimum requirements listed-your transferable skills and experiences matter. Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.