Data Platform and Support Engineeer

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.
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.
EDS is a global team distributed across the U.S, India and Canada.

About the Role

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

We are actively seeking a skilled Data Platform and Support Engineer who will play a pivotal role in ensuring the smooth functioning of our data infrastructure, enabling self-service analytics, and empowering analytical teams across the organization. As a Data Platform and Support Engineer, you will oversee the management of our enterprise data hub, working alongside a team of dedicated data and software engineers to build and maintain a robust data ecosystem that drives decision-making at scale for internal analytical applications.

You will play a key role in ensuring the availability, reliability, and performance of our data infrastructure and systems. You will be responsible for monitoring, maintaining, and optimizing data systems, providing technical support, and implementing proactive measures to enhance data quality and integrity. This role requires advanced technical expertise, problem-solving skills, and a strong commitment to delivering high-quality support services. The team is responsible for supporting Data Services, Data Warehouse, Analytics, Data Quality and Advanced Analytics/ML for multiple business functions including Sales, Marketing, Services, Support and Customer Experience. We demonstrate leading modern cloud platforms like AWS, Reltio, Snowflake,Tableau, Snaplogic, MongoDB in addition to the native AWS technologies like Spark, Airflow, Redshift, Sagemaker and Kafka.

Job Responsibilities: 

• Monitor the health and performance of data systems, including databases, data warehouses, and data lakes.
• Conduct root cause analysis and implement corrective actions to prevent recurrence of issues.
• Manage and optimize data infrastructure components such as servers, storage systems, and cloud services.
• Develop and implement data quality checks, validation rules, and data cleansing procedures.
• Implement security controls and compliance measures to protect sensitive data and ensure regulatory compliance.
• Design and implement data backup and recovery strategies to safeguard data against loss or corruption.
• Optimize the performance of data systems and processes by tuning queries, optimizing storage, and improving ETL pipeline efficiency.
• Maintain comprehensive documentation, runbooks, and fix guides for data systems and processes.
• Collaborate with multi-functional teams, including data engineers, data scientists, business analysts, and IT operations.
• Lead or participate in data-related projects, such as system migrations, upgrades, or expansions.
• Deliver training and mentorship to junior team members, sharing knowledge and standard methodologies to support their professional development.
• Participate in rotational shifts, including on-call rotations and coverage during weekends and holidays as required, to provide 24/7 support for data systems, responding to and resolving data-related incidents in a timely manner
• Hands-on experience with source version control, continuous integration and experience with release/organizational change delivery tools.

About You

Basic Qualifications: 

• 6+ years of experience designing and building scalable and robust data pipelines to enable data-driven decisions for the business.
• BE/Masters in computer science or equivalent is required

Other Qualifications:

• ​Prior experience with CRM systems (e.g. Salesforce) is desirable
• Experience building analytical solutions to Sales and Marketing teams.
• Should have experience working on Snowflake ,Fivetran DBT and Airflow
• Experience with very large-scale data warehouse and data engineering projects.
• Experience developing low latency data processing solutions like AWS Kinesis, Kafka, Spark Stream processing.
• Should be proficient in writing advanced SQLs, Expertise in performance tuning of SQLs
• Experience working with AWS data technologies like S3, EMR, Lambda, DynamoDB, Redshift etc.
• Solid experience in one or more programming languages for processing of large data sets, such as Python, Scala.
• Ability to create data models, STAR schemas for data consuming.
• Extensive experience in troubleshooting data issues, analyzing end to end data pipelines and working with users in resolving issues

• 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.

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!