Senior Data Quality Engineer

Job Description

Join a pioneering organization at the forefront of technological advancement, dedicated to leveraging data-driven insights to transform industries and drive innovation.

We are seeking a highly skilled and motivated Sr.

Data Quality Engineer to join our dynamic team.

The ideal candidate is someone who loves to learn, is detail oriented, has exceptional critical thinking and analytical skills.

As a Sr. Data Quality Engineer, you will play a critical role in ensuring the accuracy, consistency, and completeness of our data across the enterprise data platform.

You will be responsible for designing, developing, and implementing data quality processes, standards, and best practices across various data sources and systems to identify, resolve data issues.

This role offers an exciting opportunity to learn, collaborate with cross-functional teams, including data engineers, data scientists, and business analysts, to drive data quality improvements and enhance decision-making capabilities.

Responsibilities

About You

The incumbent will be responsible for (but not limited to) the following:.

- Designing and implementing data quality checks, identifying, and resolving data quality issues, collaborating with data engineers and product team to improve data pipelines, and developing data quality standards and best practices.
- Collaborate with data engineers, analysts, and business stakeholders to understand data requirements and quality expectations.
- Analyze architecture and designs to identify test automation strategies to provide full test coverage for new and/or existing data quality checks.
- Identify and articulate gaps in architecture or design which would lead to data quality issues.
- Goal here is to validate, automate and maintain high-quality data that supports informed decision-making and business operations.
- Monitor and analyze data quality metrics to proactively identify issues and opportunities for improvement.
- Establish data quality monitoring processes as part of CI/CD and tools to ensure ongoing compliance with quality standards.
- Investigate root causes of data quality issues and work with relevant teams (upstream, downstream & Analyst) to implement corrective actions.
- Provide technical guidance and support to ensure data quality standards are integrated into all data-related projects and initiatives.
- Work closely with Data Operations & Support, Monitoring team to capture production data quality exceptions and mitigate business impact/risk.
- Document data quality processes, procedures, and standards for reference and training purposes.

Business Qualifications

- Bachelor's degree in Computer Science, Information Systems, or a related field; Master's degree preferred.
- Proven experience as a Data Quality Engineer or similar role, with a minimum of 10 years in data quality management or data governance.
- Solid understanding of data management concepts, including data profiling, data cleansing, and data integration.
- Proficiency in SQL for data querying and manipulation.
- Develop and execute automated data quality tests using tools like SQL, Python (Pyspark), and data quality frameworks.
- Experience with working in a cloud environment (AWS, GCP) preferred.
- Experience with data warehousing solutions (Snowflake, Databricks, Redshift) preferred.
- Experience with data integration and transformation tools (e g Snaplogic, Prophecy, dbt, Talend, etc) a plus.
- Experience with data quality monitoring tools (Acceldata, Tricentis) a plus.
- Working knowledge of DevOps principles and CI/CD pipelines preferred.
- Strong analytical skills with the ability to identify patterns, trends, and outliers in data.
- Strong problem-solving skills and attention to detail.

Other Qualifications

- Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams.
- Proven ability to prioritize and manage multiple tasks in a fast-paced environment.
- Certification in relevant technologies or data management disciplines is a plus.
- Analytical mindset with the ability to think strategically and make data-driven decisions.
- If you are a results-driven individual with a passion for data and analytics and a proven track record in data quality assurance, we invite you to apply for this exciting opportunity.
- Join our team and contribute to the success of our data-driven initiatives.

Our Approach to Flexible Work

With Flex Work, were combining the best of both worlds: in-person time and remote.

Our approach enables our teams to deepen connections, maintain a strong community, and do their best work.

We know that flexibility can take shape in many ways, so rather than a number of required days in-office each week, we simply spend at least half (50%) of our time each quarter in the office or in the field with our customers, prospects, and partners (depending on role).

This means you'll have the freedom to create a flexible schedule that caters to your business, team, and personal needs, while being intentional to make the most of time spent together.

Those in our remote home office roles also have the opportunity to come together in our offices for important moments that matter.

Are you being referred to one of our rolesIf so, ask your connection at Workday about our Employee Referral process.

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