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 TeamThe workday Data Platform Engineering Organization in Business Technology needs engineers to architect and build next generation of data platform, tooling, The Workday Data Platform Engineering Organization in Business Technology needs engineers to architect and build the next generation of data platform, tooling, reusable frameworks and services in the AWS cloud. We take pride in enabling data driven business outcomes to mobilize Workday’s growth through trusted data excellence, innovation and architecture thought leadership. The team's key objective is to empower data engineers, statisticians, data scientists, and various business partners by building scalable data platforms, tooling/reusable frameworks, data quality and anomaly detection framework to fuel potential, reducing decision latency using self-service architecture in cloud environments.Data platform will be the central data repository with various data domain assets of decision-making process through self-service dashboards, domain specific ad-hoc self-self-capability. Also, it will be source for ML engineering self-service business owned pipelines through configurable templates, storage for ML features and model outcomes, place for test and training the models, upstream and downstream integration layer or data source for these layers.About the RoleWe are looking for an engineer who is passionate about solving exciting problems by doing independent research, collaborating with data engineers, with extensive experience in delivering big data platforms and scalable data pipelines in the public cloud. You’ll be working on platform tooling/capabilities or reusable frameworks which focus on efficiency, scalability, expandability, flexibility, all with the goal to help empower teams.As a key player of the data platform team, our team will architect and craft the data platform to empower and implement data applications, including data ingestion framework, Data Observability, Data Quality, Anomaly detection, Data Lake/Data warehouse, business intelligence, APIs and reporting systems. The team will improve data platform performance and reliability, and opportunities to collaborate with industry standard innovative technology partners and authorities to improve efficiency through automation.This hands-on role focuses on implementing data platform vision, planning and carrying out the roadmap to enable platform capabilitiesResponsibilitiesCollaborating across Collibra’s Support and Engineering teams to understand the issues and help narrowing down the unclear functional requirementsCollaborate with business and partner teams to establish data governance framework, data catalog, and lineage, to ensure privacy compliance. Work closely with data engineers and data architects to implement data quality solutions within data pipelines and data warehouses. Enhance the data governance platform (e.g. data quality, metadata, process management)Collaborate with other team members to configure, implement and provide on-going maintenance support for CollibraProvide technical support and troubleshooting for Collibra-related issues, ensuring timely resolutionAbility to work with a team of engineers to build, implement and commercialize a data analysis platform that manages tools including Collibra, Airflow, Snaplogic, Redshift, EMR and DatabricksAbility to analyze and troubleshoot unexpected system pathologiesDemonstrated capability to innovate with minimum supervisionUnderstanding of process, including Waterfall and Agile methodologiesBuild and test Data Ingestion, transformation and data quality frameworks in Realtime and BatchKeep abreast of new tools, packages while consistently pushing the limit of what is possible to deliver the best solutionsWilling to work across multiple time zonesOwning and performing thorough, meaningful and balance reviews, tailers code review comments – useful for the receivers, continuous measurable improvement through reducing deployment bugsContribution to the documentation, release notes, documentation reviews to guide others and improve their performanceKeeping security for both data in transit and data at rest, and compliance (PII, PCI, CCPA, SOX, GDPR etc.) in mindUnderstanding of available resources while designing the solution, ability to reuse the resources to build scalable solutionAbout YouBasic Qualifications:Bachelor’s Degree or higher in Computer Science/Engineering or directly related experience2+ years' experience in configuring and supporting Collibra or other Metadata / Data Governance tool (s) 4+ years of technology industry experience developing cloud services, using data platform services is a big plusHands-on experience in application support of Collibra platform for data catalog, preferably in Application Admin. RolesExperience on any of these cloud platforms (AWS, Azure, GCP), preferred : AWSExperience in configuration and connection to various data sources like AWS Datalake, DB2, Databricks etcExcellent analytical and problem-solving skills, with the ability to identify issues and develop practical solutionsProficient in Spark or Databricks, Redshift or BigQueryKnowledge of developing low latency data processing solutions like AWS Kinesis, Kafka, Spark Stream processing.Highly proficient in SQL.Other Qualifications:Experience with DevOps/SecOps pipelines , git and CI/CD implementations.Terraform and experience (is a plus)Knowledge with fine grained access control - ACL (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!
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