Job Description
About Cognizant Consulting
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nCognizant 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.n
About the role
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nAs 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.n
nThis role combines deep technical architecture expertise with solid consulting and stakeholder engagement capabilities.n
In this role, you will:
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Lead client advisory on data quality strategy, architecture, and solution design across cloud and hybrid data platforms
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Define and own scalable data quality architectures, including preventive and detective quality controls
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Translate business objectives, regulatory drivers, and operational risks into pragmatic data quality frameworks and roadmaps
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Partner with data engineering, migration, and application teams to embed data quality into pipelines, platforms, and CI/CD processes
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Communicate data quality insights, trends, and remediation options to both technical and executive audiences
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Work model
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nWe 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.n
What you must have to be considered
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Significant experience in data quality, data architecture, or analytics roles within complex data environments
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Hands-on experience designing data quality architectures and frameworks across modern data platforms
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Experience working with AWS-based data services, including data cataloguing and data quality tooling
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Proven ability to advise clients, facilitate workshops, and drive prioritisation of data quality issues and remediation
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Strong communication skills, with the ability to translate technical data quality concepts into business-relevant insights
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These will help you succeed
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Experience supporting data migration or platform modernisation programmes
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Exposure to embedding data quality controls into ETL pipelines and CI/CD workflows
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Familiarity with data quality dimensions, thresholds, and business-aligned metrics
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Consulting or client-facing delivery experience across multiple stakeholder groups
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Experience producing executive-ready reports, assessments, or data quality dashboards
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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.

📌 Data Quality Architect (Melbourne)
🏢 Cognizant
📍 Melbourne