Director, Data Engineering



Software Engineering, Data Science
Pleasanton, CA, USA
Posted on Wednesday, September 20, 2023

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.

About the Team

The Enterprise Architecture and Data Services organization in Business Technology takes pride in enabling data driven business outcomes to orchestrate Workday’s growth through trusted data excellence, innovation and architecture thought leadership. The team is responsible for developing and supporting Data Services, Data Warehouse, Analytics, Core Data Management (MDM), Data Quality and Advanced Analytics/ML together with Data Governance, using groundbreaking cloud platforms.

About the Role

Do you want to be a part of building something big that will drive value and scale throughout the entire global organization? Are you passionate about modern data management practices and leading with agile data as a product approaches? Do you excel in fast paced environments and have a curiosity about cutting through the data complexity to make it easy to consume data? Then this is the opportunity for you!

As a highly visible and technical leadership role, you will be responsible for

  • Driving strategic and operational excellence through continuous improvements in data management, people and processes to elevate business value with agility and scale

  • Heading the delivery and maintenance of large enterprise scale, critical data management and data engineering capabilities, inclusive of data lake and data warehouse

  • Establishing the roadmap and vision for enterprise scale data engineering, executing on this roadmap to deliver shared frameworks for the broader enterprise BI/Application development teams.

  • Responsible for all data management initiatives with a solid focus on prioritization, speed and bias for action

  • Collaboration multi-functionally, understands the overall enterprise Data Lakehouse Architecture and develops and matures the end-to-end solutions for data sourcing, data processing/integration, data provisioning, modeling and delivery.

  • Partnering with Enterprise Analytics, Finance, Sales, Marketing and Customer Experience partners on building trust and adoption of data ecosystem

  • Establishing strong multi-functional relationships with Data Scientists, Product Managers and Data Engineers to understand data needs and deliver on those needs.

  • Driving the design, building, and launching of new data models and data pipelines in production.

  • Defining and handling data coverage, time to insight, reusability, data SLA’s and other metrics demonstrating the maturity

  • Conflict resolution, adept in handling multiple moving parts and a fast-learner, picking up new concepts and paradigms on the ‘go’.

  • Product first mind-set to develop data products which are resilient, stable and always on. Working with different teams across the organization, ensures that critically important data products are highly available and resilient.

  • Delivering projects to successful completion as defined by predetermined project success criteria including those established by the business, ensuring that projects are delivered on time and within budget.

  • Lead, mentor, and develop team, while creating a vision for team and educating multi-functional teams on how to leverage data to find opportunities to increase revenue and performance.

  • Working with multiple partners, and deliver data products/solutions and services in an agile and forward-thinking manner.

  • Playing an important player/coach role, guide a distributed team, drive inter-team collaboration and alignment, and allow for individual autonomy and accountability

  • Workforce development to imbibe an inclusive and performance based culture across the data engineering team

  • Keeping up to date on key technology, business and industry trends.

About You

Basic Qualifications:

  • 10+ years of collective experience leading different data platforms (Data Lakes, Data Warehouse, Business Analytics, Data Ingestion, Machine Learning, Master Data Management)

  • 8+ years of management experience directly building and leading people

Other Qualifications

  • Consistent track record of developing and implementing strategic roadmaps on data management capabilities that drive business growth, scale and operational cost/risk reduction.

  • Shown thought leadership in the field of data engineering with a proven expertise in delivering large scale Data Lakes and Warehouses

  • Experience with a breadth of Data Integration tools, Databases, Big Data Platforms, Cloud based data platforms and Data Streaming technologies.

  • Proven ability to understand enterprise data in the context of business goals

  • Sophisticated level of experience with ETL technologies, Data Streaming using integration patterns like Kafka, Spark Streaming.

  • Experience with Databricks, Snowflake or equivalent cloud based data/ platforms like GCP/AWS data platform

  • Experience in building from the ground up a modern next generation data lakehouse platform.

  • Validated experience of building trust and driving change

  • Experience or understanding of programming languages like Python, Java, R, Shell, Perl etc. is a plus.

  • SaaS industry experience is preferred.

  • Proven ability to communicate complex concepts and innovative data ideas in a compelling manner to both technical and non-technical audiences.

  • Experience in the enterprise implementation, leadership experience, strategic planning, strong business sense.

  • Experience working in high-growth, high-velocity and highly matrixed organizations.

  • A Bachelors or Master's Degree in Computer Science, Information Management or related field, or equivalent experience

Workday Pay Transparency Statement - United States

The annualized base salary ranges for the primary location and any additional locations in the United States (US) are listed below. Workday pay ranges vary based on work location. As a part of the total compensation package, this role may be eligible for the Workday Bonus Plan or a role-specific commission/bonus, as well as annual refresh stock grants. Recruiters can share more detail during the hiring process. Each candidate’s compensation offer will be based on multiple factors including, but not limited to, geography, experience, skills, job duties, and business need, among other things. For more information regarding Workday’s comprehensive benefits, please click here.

Primary Location: USA.CA.Pleasanton

Primary Location Base Pay Range: $198,200 - $297,400

Additional US Location(s) Base Pay Range: $163,300 - $297,400

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.

Pursuant to applicable Fair Chance law, Workday will consider for employment qualified applicants with arrest and conviction records.

Workday is an Equal Opportunity Employer including individuals with disabilities and protected veterans.

Are you being referred to one of our roles? If so, ask your connection at Workday about our Employee Referral process!