Senior Data Engineer

Join ZoomInfo as a Senior Data Engineer, where you'll be a key member of the Enterprise Data Engineering team. You'll design and expand our data infrastructure, integrate diverse data sources, and collaborate with various teams to enhance customer value. This role requires a strong background in big data processing, pipeline orchestration, and data modeling. Enjoy competitive compensation, equity, flexible time off, and a hybrid working model.

• Design, develop, and maintain high-performance, product-centric data pipelines using Airflow, DBT, and Python.
• Architect and optimize the massive-scale data warehouse and lakehouse that serves as our single source of truth for all customer data, primarily using Snowflake.
• Lead the integration of diverse structured and unstructured data sources (e.g., web data, third-party APIs) into our data ecosystem, ensuring high-quality and reliable ingestion.
• The ideal candidate has a strong background in big data processing, pipeline orchestration, and data modeling, with a proven track record of delivering scalable and high-quality data solutions in fast-paced, data-centric product environments
• Deep knowledge of Snowflake data warehouse design, optimization, and cost modeling
• Experience with monitoring/observability tooling (e.g., Datadog, Monte Carlo, Grafana) for proactive detection of data quality and pipeline issues
• Strong Python programming skills with a focus on distributed computing, data manipulation, and building robust APIs
• Production-level experience for large-scale batch and streaming data processing
• Strong understanding of data architecture concepts, including data lakes, event-driven architectures (e.g., Kafka), ETL/ELT, and data mesh
• Familiarity with CI/CD practices applied to data workflows (e.g., automated testing for pipelines, version-controlled data models)
• Proficiency with cloud platforms (GCP and/or AWS) and infrastructure as code (e.g., Terraform)
• Experience owning production systems, including on-call rotations (e.g., PagerDuty, Opsgenie), incident response, and postmortem processes
• Hands-on experience with DBT (Data Build Tool) for advanced data modeling and transformations in a modern data stack
• Expert-level SQL for building performant, scalable queries and transformations on massive datasets
• Stakeholder Management – able to collaborate effectively across departments (Product, Engineering, Sales, Compliance) and communicate clearly with the right people at the right time when issues arise
• Sound Judgment Under Ambiguity – comfortable making decisions with incomplete information, adjusting course as new data emerges, and knowing when to ask for help versus when to move forward independently
• Strong documentation habits and ability to evangelize best practices across the organization
• Ownership & Accountability – takes responsibility for the full lifecycle of what you build, including production support, not just initial delivery
• Leadership & Mentorship – experience guiding and uplifting engineering teams to achieve their full potential
• Strategic & Product-Oriented Thinking – can translate business objectives and customer needs into scalable, high-impact data solutions
• Excellent communication skills – ability to explain complex technical concepts to both engineering teams and non-technical stakeholders, especially during high-pressure incidents
• 8+ years of progressive experience in data engineering, with a track record of leadership and impact
• Demonstrated experience in implementing or scaling data infrastructure for a data-centric product company
• Experience participating in an on-call rotation supporting production data systems
• Bachelor's or Master's degree in Computer Science, Engineering, or a related field