THE ROLE

The Data Quality Engineer is responsible for designing and implementing the data quality framework across the enterprise lakehouse platform. This role ensures that data assets meet defined quality standards through automated validation, monitoring, anomaly detection, and incident management, building trust in data across the organization.  

KEY RESPONSIBILITIES  

▸ Design and implement a comprehensive data quality framework covering completeness, accuracy, consistency, timeliness, and uniqueness  

▸ Build automated data quality test suites using Great Expectations, dbt tests, or Soda Core  

▸ Develop data quality dashboards and scorecards to provide visibility to data producers and consumers  

▸ Implement anomaly detection and data observability solutions (Monte Carlo, Bigeye, or custom solutions)  

▸ Integrate quality checks into CI/CD pipelines to prevent bad data from reaching production  

▸ Define and manage SLAs for data quality at the pipeline and data product level  

▸ Triage and resolve data quality incidents, coordinating with upstream source owners  

▸ Collaborate with data governance team to enforce quality rules aligned with business glossary definitions  

▸ Profile new data sources as part of the onboarding process to establish baseline quality benchmarks  

▸ Educate data engineering and product teams on data quality standards and measurement approaches  

REQUIRED QUALIFICATIONS  

▸ 4+ years in data engineering, data quality, or analytics engineering roles  

▸ Hands-on experience with data quality tools: Great Expectations, dbt tests, Soda, Monte Carlo, or similar  

▸ Strong SQL and Python skills for writing validation logic and quality metric queries  

▸ Experience with Apache Spark or dbt for large-scale data transformation and testing  

▸ Familiarity with data profiling techniques and statistical approaches to anomaly detection  

▸ Knowledge of data observability concepts and their application in lakehouse environments  

▸ Experience with Airflow or similar orchestration tools to schedule quality jobs  

▸ Bachelor's degree in Computer Science, Statistics, Engineering, or related field  

PREFERRED QUALIFICATIONS  

▸ Experience with Databricks or Snowflake data quality native features  

▸ Knowledge of DataHub or data catalog integration for quality score publishing  

▸ Familiarity with data contracts and shift-left quality approaches in data mesh architectures  

What Dynata Can Offer You

In addition to a competitive salary, we offer a comprehensive range of benefits tailored to each country. Our benefits are designed to support your well-being and help you achieve a healthy work-life balance.

About Us

Dynata is the world’s largest first-party data and insights platform. With a reach that encompasses 62 million consumers and business professionals globally, and an extensive library of individual profile attributes collected through surveys, Dynata is the cornerstone for precise, trustworthy quality data. The company has built innovative data services and solutions around its robust first-party data offering to bring the voice of the customer to the entire marketing continuum – from strategy, innovation, and branding to advertising, measurement, and optimization. Dynata serves nearly 6,000 market research, media and advertising agencies, publishers, consulting and investment firms and corporate customers in North America, South America, Europe, and Asia-Pacific. Learn more at www.dynata.com.

At Dynata, we are committed to fostering an inclusive, accessible environment, where all employees and customers feel valued, respected and supported. We are dedicated to building a workforce that reflects the diversity of our customers and communities in which we live and serve. Dynata welcomes and encourages applications from people with disabilities. We are committed to an inclusive work culture for all our employees. Accommodations by request can be made for all aspects of the selection process.

For administrative purposes your personal data will be kept on record and will be disclosed and transferred both within and outside the European Economic Area, including the United States of America. We shall take all reasonable steps to prevent any unauthorized access to your personal data.

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