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 Ignite your passion for innovation and transform finance with Workday's Finance AI (FinAI) Innovation Center team. Join our team of data science (DS) and machine learning (ML) experts where we do more than build algorithms. We empower finance professionals to achieve remarkable things. We automate mundane tasks, freeing them to focus on high-impact activities. We unlock hidden patterns and deliver actionable insights that lead to improved financial forecasting, optimized resource allocation, business process improvements, and significant cost reductions. Work alongside passionate experts who share your drive to make a tangible difference. Develop your skills in a rapidly evolving field while bridging the gap between technical and non-technical partners, ensuring everyone understands the transformative power of AI. This is more than just a job; it's an opportunity to be part of something truly special. Join us and become an architect of the future for finance. About the Role We are searching for a result focused and innovative individual to orchestrate the design, implementation, and management of our machine learning-focused finance data lake. This critical role involves steering our technical data engineering strategy and driving AI initiatives to expedite finance digitization and transformation. Your responsibilities include supporting ML use cases throughout a project's life cycle – from ad-hoc exploration to preparing training data, feature engineering, building scalable fault-tolerant data pipelines, and ensuring robust production deployment. As the ideal candidate, you thrive on collaboration, closely partnering with business, data science, machine learning, and analytics teams to gather requirements and propel continuous development of the data lake. Join us in shaping the future of our organization's data-driven success. Responsibilities: Build a robust and scalable data architecture capable of handling large data volumes. Analyze complex data requirements and design data models that meet organizational needs. Design and be the lead developer on data pipelines to process and transform raw data efficiently from various sources. Implement backend microservices for large scale distributed systems using gRPC or REST. Apply data integration, validation and transformation techniques to ensure data quality and consistency. Optimize data processing pipelines and implement performance tuning techniques. Ensure the security and privacy of data by implementing access controls, encryption mechanisms, and data anonymization techniques. Establish monitoring and auditing mechanisms to proactively identify and rectify any data issues ensuring a high level of data integrity. Create and maintain visualization dashboards and reports for actionable insights. Work in an Agile environment focused on collaboration and teamwork. Develop roadmaps and requirements, identify risks, and develop contingency plans. Communicate project status to relevant partners. About You 12+ years of professional experience in data engineering, software development, or database administration involving large-scale, real-time distributed systems. Bachelor's degree in Computer Science (or related field) or equivalent work experience. Strong foundation in data engineering concepts, including data modeling, database design, ETL (Extract, Transform, Load) processes, and data warehousing. Proficiency in Python, SQL, and PySpark, with a focus on applying these to data engineering tasks. Proficiency with technologies like SnowFlake and Databricks. Expertise with data visualization tools like Tableau, Power BI, Sigma or similar. Experience with graph based data workflows like Apache Airflow etc. Experience with AWS cloud services: EC2, EMR, RDS, Redshift Familiarity with code repository and project tools such as GitHub, JIRA, and Confluence. Strong communication ability to liaise with various partners, including data scientists, business analysts, and executives, to understand requirements and translate them into technical solutions. 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! Join our talent community and receive the latest Workday news, content, and be first in line for new job opportunities. Join our Talent Community! Please visit this benefits site! Please visit the Contractor Positions at Workday page 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. At Workday, our employees have always been our number one Core Value. We understand that everyone has unique experiences and perspectives which is why our mission is to create a safe space where all people and ideas are welcomed. Our commitment to value inclusion, belonging, and equity (VIBE™) and creating a brighter workday for all is the cornerstone of all we do. Join us! Workday is a leading provider of enterprise cloud applications for finance and human resources. Founded in 2005, Workday delivers financial management, human capital management, and analytics applications designed for the world's largest companies, educational institutions, and government agencies. Organizations ranging from medium-sized businesses to Fortune 50 enterprises have selected Workday. Workday is proud to be an equal opportunity workplace. Individuals seeking employment at Workday are considered without regards to age, ancestry, color, gender (including pregnancy, childbirth, or related medical conditions), gender identity or expression, genetic information, marital status, medical condition, mental or physical disability, national origin, protected family care or medical leave status, race, religion (including beliefs and practices or the absence thereof), sexual orientation, military or veteran status, or any other characteristic protected by federal, state, or local laws. Further, pursuant to applicable local ordinances, Workday will consider for employment qualified applicants with arrest and conviction records. We do not accept resumes from headhunters, placement agencies, or other suppliers that have not signed a formal agreement with us. You may view the Workday's Pay Transparency Policy, and Know Your Rights Notice, by clicking on their corresponding links. Workday is committed to providing reasonable accommodations for qualified individuals with disabilities, disabled veterans, and others during our application process. If you need assistance or an accommodation due to a disability or for religious reasons, contact us at *****@******.com.