About the company
ZoomInfo is the Go-To-Market Intelligence Platform that empowers businesses to grow faster with AI-ready insights, trusted data, and advanced automation. Its solutions provide more than 35,000 companies worldwide with a complete view of their customers.
Responsibilities
- Design, develop, and maintain scalable analytics data models that support reporting, business intelligence, product analytics, and operational decision-making.
- Build and manage trusted data pipelines and transformation workflows using modern analytics engineering practices.
- Partner with stakeholders across Engineering, Product, Design, Strategy & Operations, and AI Platform to understand business needs and translate them into effective data solutions.
- Establish clear definitions, metrics, dimensions, and data contracts to create consistency across teams and use cases.
- Develop reusable datasets and semantic models that enable self-service analytics and reduce duplicated work.
- Improve the reliability, performance, observability, and maintainability of analytics infrastructure.
- Implement data quality checks, testing, documentation, lineage, and monitoring for critical data assets.
- Collaborate with data engineers and platform teams to optimize data architecture, warehouse performance, and transformation workflows.
- Help establish best practices for analytics engineering, including version control, code review, CI/CD, documentation, and deployment standards.
Requirements
- 4+ years of experience in analytics engineering, data engineering, business intelligence engineering, or a related field.
- Strong SQL skills, including experience developing complex queries and dimensional data models.
- Experience building and maintaining analytics transformations using tools such as dbt or comparable frameworks.
- Proficiency in Python or another programming language used for data processing and automation.
- Experience working with modern cloud data warehouses such as Snowflake, Databricks, BigQuery, or Redshift.
- Strong understanding of data modeling concepts, including dimensional modeling, fact and dimension tables, slowly changing dimensions, and semantic layers.
- Experience implementing data quality testing, monitoring, documentation, and observability practices.
- Demonstrated ability to partner with cross-functional stakeholders and translate ambiguous business questions into scalable data solutions.
- Familiarity with data cataloging and lineage tools.
Conditions
- Full-time position in Toronto, Ontario, Canada.
- Remote work available.