Workday
Overview
Your work days are brighter here. At Workday, it began with a conversation over breakfast and grew into a culture that puts people first. We focus on happiness, development, and contribution of every Workmate, fostering a healthy, employee-centric, collaborative culture. We look after people, communities, and the planet while remaining profitable. Bring your brightest version of you for a brighter work day here. At Workday, we value candidate privacy and data security. Workday will never ask candidates to apply to jobs through websites that are not Workday Careers. Be aware of sites that may ask for your data in connection with a Workday job posting that is not from Workday. Workday will never ask candidates to pay a recruiting fee or pay for consulting or coaching services to apply for a job at Workday. About the Team
In 2024, Workday launched an Enterprise Data and Analytics team with a mission to transform and optimize how Workday creates and shares trusted data to drive actionable insights and data-led innovation. The team introduced a cloud-based technical stack, a Data Product methodology anchored in DataOps principles, an active Data Governance methodology to manage data quality and discovery, and modern analytics tools for discovery, analysis, visualization, machine learning, and AI. The team aims to lead high-value multi-functional data and analytics work and support the broader Workday analytics community by establishing modern ways of working, facilitating training and communication, and creating secure data and analytics brokerage across business units. About the Role
If based in PA, this is a hybrid position where you’ll be required to work from our Conshohocken, PA office. We are seeking a highly skilled Senior DataOps Engineer to optimize our data cloud-based platform by implementing CI/CD automation that drives technical and business processes. This includes coordinating with IT and Analytics Engineering, implementing CI/CD for data workflows, and establishing critical integrations between platforms to power CI/CD workflows. The ideal candidate will have a strong understanding of DataOps/DevOps, experience on teams that manage data as a product, and a passion for automation and efficiency. This role will be instrumental in building and scaling our data platform to support data-driven decision-making. Responsibilities
Implement and maintain DataOps CI/CD pipelines for rapid, reliable infrastructure and data product deployment, including automated environment provisioning and management, testing, and linting stages. Implement and optimize monitoring and alerting systems in CI/CD pipelines to proactively identify and resolve issues. Configure ED&A’s data platform with industry best practices, robust security standards, and data governance. Collaborate across the organization with IT and Analytics Engineering. Implement test-driven development principles in CI/CD pipelines for the data space. Implement DataOps CI/CD best practices via integration with ED&A’s data tech stack (Snowflake, dbt, Atlan, Acceldata, Airflow, GitHub). Measure adoption and seek continuous improvement opportunities related to technology, process, and skills. Drive and, where possible, automate the creation of detailed documentation for CI/CD pipelines and operating procedures. Implement automation and performance optimization to enhance ED&A data platform capabilities. Continuously tune developed solutions for optimal performance. About You
Basic Qualifications: 8 years of hands-on experience implementing and managing cloud-native data platforms and solutions, or 6 years with a Master’s Degree. 3+ years of hands-on experience implementing and maintaining robust CI/CD pipelines for data platforms and products. 3+ years of experience with core data platforms and orchestration tools (e.g., Snowflake, dbt, Airflow, FiveTran) for integrating these tools into CI/CD pipeline automations. Other Qualifications: Deep practical understanding of DataOps (DevOps for data) principles and methodologies. Proficient in deployment strategies, environment management, and testing best practices for data products, focusing on automation and quality. High-level understanding of data modeling, ETL/ELT processes, and data warehousing best practices. Strong technical problem-solving skills at the implementation level, including debugging failed tests and CI/CD pipeline issues. Passion for automation and a track record of implementing solutions to improve efficiency and reduce manual effort. Experience with agile methodologies and their application to DataOps/DevOps tasks. Workday Pay Transparency
The annualized base salary ranges for the primary location and any additional locations are listed below. Pay ranges vary based on work location. The role may be eligible for a Bonus Plan, commission/bonus, and annual stock grants. Compensation offers are based on multiple factors including geography, experience, skills, job duties, and business need. For more information regarding Workday’s benefits, please note this link is provided for reference. Primary Location: USA.GA.Atlanta; Primary Location Base Pay Range: $122,400 USD - $183,600 USD; Additional US Location(s) Base Pay Range: $116,300 USD - $206,500 USD.
Our Approach to Flexible Work With Flex Work, we combine in-person and remote work. Teams can deepen connections and maintain a strong community. Flexibility is shaped to meet business and personal needs, with at least half of time spent in the office or with customers each quarter. Remote roles may still come together in offices for important moments. Pursuant to applicable Fair Chance law, Workday will consider qualified applicants with arrest and conviction records. Workday is an Equal Opportunity Employer including individuals with disabilities and protected veterans. 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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Your work days are brighter here. At Workday, it began with a conversation over breakfast and grew into a culture that puts people first. We focus on happiness, development, and contribution of every Workmate, fostering a healthy, employee-centric, collaborative culture. We look after people, communities, and the planet while remaining profitable. Bring your brightest version of you for a brighter work day here. At Workday, we value candidate privacy and data security. Workday will never ask candidates to apply to jobs through websites that are not Workday Careers. Be aware of sites that may ask for your data in connection with a Workday job posting that is not from Workday. Workday will never ask candidates to pay a recruiting fee or pay for consulting or coaching services to apply for a job at Workday. About the Team
In 2024, Workday launched an Enterprise Data and Analytics team with a mission to transform and optimize how Workday creates and shares trusted data to drive actionable insights and data-led innovation. The team introduced a cloud-based technical stack, a Data Product methodology anchored in DataOps principles, an active Data Governance methodology to manage data quality and discovery, and modern analytics tools for discovery, analysis, visualization, machine learning, and AI. The team aims to lead high-value multi-functional data and analytics work and support the broader Workday analytics community by establishing modern ways of working, facilitating training and communication, and creating secure data and analytics brokerage across business units. About the Role
If based in PA, this is a hybrid position where you’ll be required to work from our Conshohocken, PA office. We are seeking a highly skilled Senior DataOps Engineer to optimize our data cloud-based platform by implementing CI/CD automation that drives technical and business processes. This includes coordinating with IT and Analytics Engineering, implementing CI/CD for data workflows, and establishing critical integrations between platforms to power CI/CD workflows. The ideal candidate will have a strong understanding of DataOps/DevOps, experience on teams that manage data as a product, and a passion for automation and efficiency. This role will be instrumental in building and scaling our data platform to support data-driven decision-making. Responsibilities
Implement and maintain DataOps CI/CD pipelines for rapid, reliable infrastructure and data product deployment, including automated environment provisioning and management, testing, and linting stages. Implement and optimize monitoring and alerting systems in CI/CD pipelines to proactively identify and resolve issues. Configure ED&A’s data platform with industry best practices, robust security standards, and data governance. Collaborate across the organization with IT and Analytics Engineering. Implement test-driven development principles in CI/CD pipelines for the data space. Implement DataOps CI/CD best practices via integration with ED&A’s data tech stack (Snowflake, dbt, Atlan, Acceldata, Airflow, GitHub). Measure adoption and seek continuous improvement opportunities related to technology, process, and skills. Drive and, where possible, automate the creation of detailed documentation for CI/CD pipelines and operating procedures. Implement automation and performance optimization to enhance ED&A data platform capabilities. Continuously tune developed solutions for optimal performance. About You
Basic Qualifications: 8 years of hands-on experience implementing and managing cloud-native data platforms and solutions, or 6 years with a Master’s Degree. 3+ years of hands-on experience implementing and maintaining robust CI/CD pipelines for data platforms and products. 3+ years of experience with core data platforms and orchestration tools (e.g., Snowflake, dbt, Airflow, FiveTran) for integrating these tools into CI/CD pipeline automations. Other Qualifications: Deep practical understanding of DataOps (DevOps for data) principles and methodologies. Proficient in deployment strategies, environment management, and testing best practices for data products, focusing on automation and quality. High-level understanding of data modeling, ETL/ELT processes, and data warehousing best practices. Strong technical problem-solving skills at the implementation level, including debugging failed tests and CI/CD pipeline issues. Passion for automation and a track record of implementing solutions to improve efficiency and reduce manual effort. Experience with agile methodologies and their application to DataOps/DevOps tasks. Workday Pay Transparency
The annualized base salary ranges for the primary location and any additional locations are listed below. Pay ranges vary based on work location. The role may be eligible for a Bonus Plan, commission/bonus, and annual stock grants. Compensation offers are based on multiple factors including geography, experience, skills, job duties, and business need. For more information regarding Workday’s benefits, please note this link is provided for reference. Primary Location: USA.GA.Atlanta; Primary Location Base Pay Range: $122,400 USD - $183,600 USD; Additional US Location(s) Base Pay Range: $116,300 USD - $206,500 USD.
Our Approach to Flexible Work With Flex Work, we combine in-person and remote work. Teams can deepen connections and maintain a strong community. Flexibility is shaped to meet business and personal needs, with at least half of time spent in the office or with customers each quarter. Remote roles may still come together in offices for important moments. Pursuant to applicable Fair Chance law, Workday will consider qualified applicants with arrest and conviction records. Workday is an Equal Opportunity Employer including individuals with disabilities and protected veterans. Are you being referred to one of our roles? If so, ask your connection at Workday about our Employee Referral process!
#J-18808-Ljbffr