ZoomInfo is seeking a Senior Data Engineer to join the Enterprise Data Engineering team in Dublin, Ireland. This hybrid role designs and expands enterprise data infrastructure that enables internal teams to interact with data comprehensively and at scale. You will own production data pipelines and platforms, participate in on-call rotations, and collaborate with cross-functional partners to deliver scalable data solutions for analytics and AI initiatives.

What you’ll do: - Design, develop, and maintain high-performance data pipelines using Airflow, DBT, and Python. - Architect and optimize the Snowflake-based data warehouse and lakehouse to serve as the single source of truth for customer data. - Integrate diverse structured and unstructured data sources (e.g., web data, third-party APIs) into the data ecosystem with quality and reliability. - Define roadmap priorities that anticipate internal consumer needs and advance data and AI capabilities. - Advise leadership on data strategy, readiness, and infrastructure investments. - Collaborate with ML engineers, data scientists, and product managers to translate business needs into scalable data solutions that deliver customer value. - Define, monitor, and enforce data quality SLAs across pipelines and products. - Participate in on-call rotation, perform root-cause analysis, and drive remediation and postmortems. - Triage production issues and escalates appropriately, coordinating with engineering leadership and stakeholders as needed. - Mentor and coach junior engineers, promoting best practices in code quality, data architect

ZoomInfo is seeking a Senior Data Engineer to join the Enterprise Data Engineering team in Dublin, Ireland. This hybrid role designs and expands enterprise data infrastructure that enables internal teams to interact with data comprehensively and at scale. You will own production data pipelines and platforms, participate in on-call rotations, and collaborate with cross-functional partners to deliver scalable data solutions for analytics and AI initiatives.

What you’ll do: - Design, develop, and maintain high-performance data pipelines using Airflow, DBT, and Python. - Architect and optimize the Snowflake-based data warehouse and lakehouse to serve as the single source of truth for customer data. - Integrate diverse structured and unstructured data sources (e.g., web data, third-party APIs) into the data ecosystem with quality and reliability. - Define roadmap priorities that anticipate internal consumer needs and advance data and AI capabilities. - Advise leadership on data strategy, readiness, and infrastructure investments. - Collaborate with ML engineers, data scientists, and product managers to translate business needs into scalable data solutions that deliver customer value. - Define, monitor, and enforce data quality SLAs across pipelines and products. - Participate in on-call rotation, perform root-cause analysis, and drive remediation and postmortems. - Triage production issues and escalates appropriately, coordinating with engineering leadership and stakeholders as needed. - Mentor and coach junior engineers, promoting best practices in code quality, data architect