Job Description

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 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 Role We 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 senior member 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 capabilities Responsibilities Implement Data Ingestion, transformation and data quality frameworks in Realtime and Batch Design and develop cloud data platforms - Tools and Capabilities to support teams to enable self-service capabilities. Write in Python, Java, Go or other languages to deliver a wide variety of data services Building tools to accelerate data ingestion and transformation with lineage, data security, data privacy protection. Improve data quality by using & improving internal tools/frameworks to automatically detect Data quality issues. Keep abreast of new tools, packages while consistently pushing the limit of what is possible to deliver the best solutions Collaborate with Product Owners to apply Workday\'s agile processes and be responsible for the initiation, delivery, and communication of projects for the partner organizations Promote tooling, frameworks and findings with the wider Workday Community Willing to work across multiple time zones Understand and gain solid understanding of team\'s technology stack and instance strategy to align with software development lifecycle Ability to lead complex projects with technical design to launch, incremental approach rather than big bang with continuous delivery, simplifying sophisticated architectural with simple solutions, and seeks opportunities to improve Owning and performing thorough, meaningful and balance reviews, tailors code review comments - useful for the receivers, continuous measurable improvement through reducing deployment bugs Contribution to the documentation, release notes, documentation reviews to guide others and improve their performance Building high quality monitoring, sets and communicate reliability requirements and coaching junior members of the team including extended teams Keeping security for both data in transit and data at rest, and compliance (PII, PCI, CCPA, SOX, GDPR etc.) in mind Understanding of available resources while designing the solution, ability to reuse the resources to build scalable solution About You Basic Qualifications: 7+ years of technology industry experience Proven track record of building and supporting data algorithms and pipelines. Advanced in writing Python, Go, java or Scala. Experience on any of these cloud platforms (AWS, Azure, GCP), preferred : AWS Advanced in Spark or Databricks, Redshift or BigQuery, Airflow Advanced in developing low latency data processing solutions like AWS Kinesis, Kafka, Spark Stream processing. Experience with fine grained access control (ACL) Experience with DEVOps/SecOps pipelines and CI/CD implementations. Advanced in writing and tuning SQL. Able to write, test, ship, and maintain clean production code within a collaborative and version-controlled codebase. Other Qualifications: Quantitative graduate degree (is a plus) Terraform and experience (is a huge plus) Bachelor\'s Degree or higher in Computer Science/Engineering or directly related experience Prior experience with CRM systems like SFDC is good to have #LI-ED2 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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