Your work days are brighter here.
At Workday, it all began with a conversation over breakfast. When our founders met at a sunny California diner, they came up with an idea to revolutionize the enterprise software market. And when we began to rise, one thing that really set us apart was our culture. A culture which was driven by our value of putting our people first. And ever since, the happiness, development, and contribution of every Workmate is central to who we are. Our Workmates believe a healthy employee-centric, collaborative culture is the essential mix of ingredients for success in business. That’s why we look after our people, communities and the planet while still being profitable. Feel encouraged to shine, however that manifests: you don’t need to hide who you are. You can feel the energy and the passion, it's what makes us unique. Inspired to make a brighter work day for all and transform with us to the next stage of our growth journey? Bring your brightest version of you and have a brighter work day here.
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About the Team
In 2024, Workday launched an Enterprise Data and Analytics (ED&A) team with a mission to transform and optimize the way Workday creates and shares trusted data to drive actionable insights and data-led innovation across the enterprise. The team has introduced a new, cloud-based technical stack, a Data Product methodology anchored in the principles of DataOps, an Active Data Governance methodology to manage the quality and discovery of data, and a series of modern analytics tools that facilitate discovery, analysis, visualization, machine learning, and AI. The team’s goal is to lead high-value cross-functional data and analytics work and to support the broader Workday analytics community by establishing modern, common ways of working, facilitating training and communication, and creating secure data and analytics brokering capability across business units. As part of ED&A and enabling this strategy, the Enterprise Data Operations and Governance team drives the creation of policies, procedures, and operating models to improve the overall quality and reliability of data across Workday. This role is crucial in proactively monitoring and improving the health of our data ecosystem.
About the Role
The Data Observability and Quality Engineer will be a key player in ensuring the reliability and trustworthiness of Workday’s data. The Data Quality Engineer will leverage their technical expertise to implement and maintain solutions that enhance our ability to observe the behavior of our data and ensure its quality throughout its lifecycle.
Job Duties:
Develop and maintain data quality metrics, key performance indicators (KPIs), and monitoring dashboards to track data health and identify trends, enabling proactive identification of potential issues.
Collaborate with data and analytics engineers to embed data quality checks and observability tools into data pipelines and data products, ensuring data integrity from source to consumption.
Develop and maintain documentation related to data observability processes, data quality standards, and monitoring procedures, promoting knowledge sharing and best practices across the organization.
Configure data observability solutions to monitor data pipelines, identify anomalies, and ensure data quality across various systems, with a focus on automation and scalability.
Quickly diagnose and address data issues, working closely with engineering teams to investigate root causes, implement sustainable solutions, and prevent future occurrences.
About You
Basic Qualifications:
- 3+ years of experience in data engineering, data quality, or a related role.
- 2+ years of experience implementing data monitoring or observability solutions.
- Strong understanding of data quality principles, methodologies, and best practices.
- Experience with data profiling, data validation, and data testing techniques.
- Proficiency in SQL and data analysis, with experience in writing complex queries.
- Experience working with data pipelines and data warehousing concepts, including ETL processes.
Other Qualifications:
- Experience with observability tools (e.g., Atlan, Acceldata, Monte Carlo, Soda).
- Familiarity with data governance frameworks and data management principles.
- Proficiency in scripting languages (e.g., Python) for analysis and automation.
- Proficiency in BI tools (e.g., Tableau, Sigma) for data visualization.
- Excellent analytical, problem-solving, and troubleshooting skills.
- Strong communication, interpersonal, and collaboration skills.
- Ability to work independently and as part of a team in a fast-paced environment.
- Familiarity with cloud-based data platforms (Snowflake, dbt cloud, Fivetran, Atlan, Acceldata, Github Actions) and related data services.
- Bachelor's degree in computer science, information systems, or a related field.
Our Approach to Flexible Work
With Flex Work, we’re 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 roles? If so, ask your connection at Workday about our Employee Referral process!
