Manager , Data Engineering and Integrations

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

Come be a part of something big.

If you want to be a part of building something big that will drive value throughout the entire global organization, then this is the opportunity for you. You will be working on top priority initiatives that span new and existing technologies - all to deliver outstanding results and experiences for our customers and employees.

Our Enterprise Data Services is currently looking for an adept Data Engineering Manager who will be instrumental in crafting and provisioning data sets that propel self-service analytics and bolster broder analytical teams across the Company. Manage a team of passionate data and software engineers to build and maintain an enterprise data hub to drive decision making at scale for workday internal analytical applications.You will work with other data leaders to define and optimize a global operating model with distributed teams across US, India, and Canada. Work closely with self-service analytics teams to develop data and analytics roadmap, provide estimates, and prioritize projects based on team capacity. Advise platform and support team on operational excellence and data availability SLAs.


The Enterprise Data Services organization in Business Technology takes pride in enabling data driven business outcomes to spearhead Workday’s growth through trusted data excellence, innovation and architecture thought leadership. Our organization is responsible for developing and supporting Data Warehousing, Data Ingestion and Integration Services, Master Data Management (MDM), Data Quality Assurance, and the deployment of cutting-edge Advanced Analytics and Machine Learning solutions tailored to enhance multiple business sectors such as Sales, Marketing, Services, Support, and Customer Engagement.

Our team harnesses the power of top-tier modern cloud platforms and services, including AWS, Databricks, Snowflake, Reltio, Tableau, Snaplogic, and MongoDB, complemented by a suite of AWS-native technologies like Spark, Airflow, Redshift, Sagemaker, and Kafka. These tools are pivotal in our drive to create robust data ecosystems that empower our business operations with precision and scalability.

About the Role

Basic Qualifications

• Bachelor’s degree or higher in Computer Science or Engineering or related.
• 7+ years managing a technical team and/or experience with running data engineering and/or analytics teams in large organizations.
• Prior experience implementing large and complex data lakehouse, data warehouse, data mesh solutions using modern ETL/ELT frameworks, dimensional data modeling for facilitating ad hoc analysis, BI reporting, and ML use cases.
• Deep understanding of key metrics and analytics needs across Pre Sales, Marketing, Pricing, Sales and Finance portfolio while being able to support development of goals and objectives leading to a 360 view of the customer experience.
• Ability to gain trust, influence and steer a wide range of partners while bringing together and working with a team of people with multifaceted backgrounds - business analysts, technical authorities, process owners - to build joint solutions
• Build and lead a successful global team of data engineers, modelers, software engineers, QA to deliver efficiently via strong operational focus, capability development, and alignment with key partners
• Solid understanding of open-source data engineering technologies like Apache Airflow, Apache Spark, DBT, Kafka etc.
• Experience with one or more cloud platforms like AWS, Azure, GCP, Oracle etc and database technologies like Redshift, Databricks , Snowflake, Mongo etc.
• Work with cross functional teams to enable data insights through the data lifecycle.

About You

Other Qualifications

• Proven background in multiple business domains around Pre Sales, Marketing, Pricing, Sales, Finance and SaaS product & analytics.
• Have a proven track record of building trusting multi-functional relationships with partners, comfortable navigating through ambiguity, and thrive in a fast-paced environment.
• Understanding of data Ingestion technologies, processing, persistent storage to build data lake to service both batch and near real-time applications.
• Work with peers and self-service analytic partners to frame, structure and prioritize business data needs.
• Develop thoughtful and strategic offerings which to enable key business outcomes.
• Attract, recruit, inspire and retain the best talent.
• Develop relationships and have frequent interaction with customers, including VPs, and C-level executives of Fortune 500 companies.
• Facilitation, presentation skills and partner management with ability to collaborate with executive and senior leadership.
• Innovation mindset coupled with results-focused orientation - consistent focus on getting things done and showing interim progress along the way.
• Prior experience building and leading diverse global teams in matrix organization.
• Experience developing, delivering, and scaling measurable operational improvements and efficiencies through Agile methodologies.
• Experience and understanding of Salesforce, Workday, Adobe, Gainsight, Tableau and BI Tools is a plus

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!