Data Support Engineer

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 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 Data Ops, 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 establish and 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.

About the Role

Maintenance Engineering & L2 Production Support:

• Ensure timely resolution, delivery and maintenance of data pipelines and analytics solutions built on Snowflake and dbt.

• Responsible for triaging, investigating and providing resolution of production failures (L2) within agreed upon SLAs.

• Perform analysis of analytics logic and data pipelines to provide adequately descriptive solutions.

• Effectively document investigative steps and analysis to escalate L3 technical issues to the relevant engineering teams.

• Ensure data accuracy, integrity, and consistency across the platform.

• Proactively identify opportunities for process improvement and optimization and implement it by partnering with relevant engineering teams.

Stakeholder Management:

• Build and maintain strong relationships with stakeholders across all departments.

• Participate in Incident Management Calls to provide root cause analysis and suggest corrective actions as well as contributing to preventive measures.

• Strong stakeholder management skills in case of production incidents.

About You

The person in this role should have a good understanding of the data engineering domain with a proven track record of building and supporting data and analytics engineering solutions using modern data engineering tools and technologies.

Basic Qualifications:

• 3+ years of experience working on building and supporting data and analytics pipelines.

• Experience with modern cloud based data engineering tools and technologies especially Snowflake and dbt.

• Well versed with advanced SQL and query/cost optimization techniques to improve overall system performance and reduce query cost.

• Should have relevant experience in providing L2 support for data pipeline failures in mission critical environments.

• Should have experience in managing stakeholder communication and handling failures in production environments.

Other Qualifications:

• Proven track record of independently delivering successful analytic engineering solutions.

• Strong business sense and understanding of business processes.

• Effective communication skills with technical and non-technical audiences.

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!