29 days ago
Toronto, CanadaSenior
Responsibilities
- Design, develop, and maintain scalable analytics data models for reporting, business intelligence, product analytics, and operational decision-making.
- Build and manage data pipelines and transformation workflows.
- Partner with Engineering, Product, Design, Strategy & Operations, AI Platform, analysts, data scientists, and business stakeholders to translate needs into data solutions.
- Define metrics, dimensions, data contracts, reusable datasets, and semantic models.
- Improve analytics infrastructure reliability, performance, observability, and maintainability.
- Implement data quality checks, testing, documentation, lineage, and monitoring.
- Collaborate with data engineers and platform teams on data architecture, warehouse performance, and transformation workflows.
- Establish best practices for version control, code review, CI/CD, documentation, and deployment standards.
- Communicate technical concepts to technical and non-technical audiences.
Requirements
- At least 4 years of experience in analytics engineering, data engineering, business intelligence engineering, or a related field.
- Strong SQL skills, including complex queries and dimensional data models.
- Experience with analytics transformations using dbt or comparable frameworks.
- Proficiency in Python or another programming language for data processing and automation.
- Experience with cloud data warehouses such as Snowflake, Databricks, BigQuery, or Redshift.
- Strong understanding of dimensional modeling, fact and dimension tables, slowly changing dimensions, and semantic layers.
- Experience with data quality testing, monitoring, documentation, and observability.
- Ability to translate ambiguous business questions into scalable data solutions and partner with cross-functional stakeholders.
- Strong communication, problem-solving, and organizational skills.
- Thoughtful approach to data governance, security, privacy, and responsible data use.
- Familiarity with data cataloging and lineage tools.
Benefits
- Remote work arrangement is indicated by the #LI-Remote designation.
- Equal employment opportunities and consideration for qualified candidates with criminal histories in accordance with legal requirements.
Tech Stack
Amazon RedshiftApache AirflowAWSDatabricksdbtGoogle BigQueryGoogle Cloud PlatformPythonSnowflakeSQLTerraform
Categories
Data Engineering
About ZoomInfo
ZoomInfo builds a subscription go-to-market platform for B2B sales and marketing teams, combining company and contact data, intent signals, and sales engagement tools. Its products help organizations find prospects, align GTM motions, and automate outreach, and are used by more than 35,000 companies. The public company (NASDAQ: GTM; also traded in Frankfurt) is headquartered in Vancouver, Washington, and grew out of DiscoverOrg’s acquisition of ZoomInfo.