WillHire

Senior DataOps Engineer

WillHire

full-time

Posted on:

Origin:  • 🇺🇸 United States • Pennsylvania

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Salary

💰 $122,400 - $183,600 per year

Job Level

Senior

Tech Stack

AirflowCloudETL

About the role

  • Workday Enterprise Data & Analytics team mission: transform and optimize how Workday builds and shares trusted data to drive analytics and AI
  • Implement automation for technical and business processes for Workday’s cloud-based data platform
  • Coordinate with Business Technology and establish CI/CD for data workflows, environment provisioning, testing, and linting
  • Implement and maintain DataOps CI/CD pipelines and platform integrations to governance and quality tools and downstream systems
  • Develop and deploy data pipeline automation and orchestration solutions
  • Implement and optimize monitoring and alerting systems
  • Implement DataOps best practices through automated tooling (Snowflake, dbt, Atlan, Acceldata, Airflow, Git)
  • Measure adoption and drive continuous improvement in technology, process, and skills
  • Automate creation of documentation for pipelines and operational procedures
  • Continuously tune solutions for optimal performance
  • If based in PA, hybrid role requiring work from Conshohocken, PA office up to one day per week

Requirements

  • 8 years of experience in the DataOps, DevOps, and/or Data Engineering space, or 6 years with a master’s degree
  • Proven experience (3-5+ years) with core data platforms and orchestration tools such as Snowflake, dbt, Airflow/FiveTran, and GitHub Actions
  • Deep practical understanding and application of DataOps principles and methodologies
  • High level understanding of data modeling, ETL/ELT processes, and data warehousing best practices
  • 3-5+ years of hands-on experience implementing and maintaining robust CI/CD pipelines for data platforms and products
  • Excellent communication and interpersonal skills
  • Familiarity with data cataloging, data lineage, and data quality solutions (e.g., Atlan, Acceldata) is a plus
  • Strong knowledge of data security best practices and ability to implement security testing within pipelines
  • Proficient in deployment strategies, environment management, and testing best practices for data products
  • Experience with cloud-based data platforms
  • Strong technical problem-solving skills, debugging failed tests and pipeline issues
  • Passion for automation and track record of improving efficiency
  • Experience working with agile methodologies and test-driven development principles