About the role
As a
Data Quality Consultant , you will make an impact by strengthening data governance and enhancing data quality for a leading automotive retailer. You will be a valued member of the data governance team and work collaboratively with business stakeholders, technical teams, and external vendors to ensure high‑quality, reliable, and trusted data.
In this role, you will
Implement comprehensive data quality rules using the DQLabs.ai SaaS platform and Snowflake to improve data accuracy, completeness, uniqueness, and integrity.
Configure out‑of‑the‑box rules and develop custom SQL‑based data quality rules for enterprise‑critical datasets.
Collaborate with cross‑functional stakeholders to define key data quality metrics and align rule implementations with business needs.
Contribute to designing and scaling a robust data quality framework supporting enterprise‑wide data governance initiatives.
Conduct extensive end‑user testing to identify bugs, usability issues, and improvement opportunities in the DQLabs platform. Create and execute test cases that replicate real‑world workflows and validate vendor fixes.
Work model
Remote
We strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a remote position open to qualified applicants in applicable regions. Regardless of your working arrangement, we are here to support a healthy work‑life balance through our wellbeing programs.
The working arrangements for this role are accurate as of the date of posting and may change based on project assignments, business needs, and client requirements. We will always communicate expectations clearly.
What you need to have to be considered
Hands‑on experience implementing data quality rules using
DQLabs.ai , Snowflake, or similar data quality/governance platforms.
Strong SQL expertise for developing custom data quality rules and validations.
Experience working with enterprise data governance, data quality metrics, and data management best practices.
Ability to collaborate with business and technical stakeholders to translate requirements into actionable DQ rules.
Experience performing structured system or platform testing, including defect identification, documentation, and resolution follow‑up.
These will help you stand out
Experience working in a large‑scale enterprise or regulated industry (automotive, financial services, retail, etc.).
Familiarity with master data management (MDM), metadata management, or enterprise data governance frameworks.
Previous experience partnering with SaaS vendors on product enhancements and issue resolution.
Knowledge of Snowflake best practices, cloud data ecosystems, and data modeling.
We\'re excited to meet people who share our mission and can make an impact in a variety of ways. Don’t hesitate to apply even if you meet only the minimum requirements. Think about your transferable experiences and unique strengths that make you a great fit for this role.
Salary and Other Compensation
Applications will be accepted until February 22, 2026.
The annual salary for this position is between $115,000 - $130,000 depending on experience and other qualifications of the successful candidate.
This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.
Benefits
Medical/Dental/Vision/Life Insurance
Paid holidays plus Paid Time Off
401(k) plan and contributions
Long‑term/Short‑term Disability
Paid Parental Leave
Employee Stock Purchase Plan
Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
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.
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