Sr. Data Engineer

Salary Range: 100000 to 150000 (Currency: CAD) (Pay period: per-year-salary)

What You’ll Do

• Design, develop, and maintain scalable data pipelines and ELT processes for our data lake/data warehouse
• Implement data orchestration tools to automate and streamline data workflows.
• Work with our AI Solutions team to implement AI enhanced processes throughout the organization
• Build and integrate machine learning models and data pipelines into end-to-end analytics solutions
• Build and manage reverse ETL workflows to business systems such as the CRM
• Support development of predictive models to support strategic and operational initiatives
• Develop and maintain comprehensive documentation for data processes and systems.
• Build production-ready data models and schemas using DBT to support downstream analytics
• Collaborate with cross-functional teams to define and implement data governance policies and best practices.
• Manage our modern analytics tech stack to support the democratization of data and analytics through dashboards, reports, and predictive models
• Support analysts in developing dashboards, data products, and ad hoc report studies to analyze and present data associated with GTM analytics, product performance, business operations, and strategic decision-making

Must Haves

• Proficiency in SQL
• Proficiency in any statistical programming language (i.e, Python or R)
• Hands-on experience building and managing ETL and rETL workflows
• Strong understanding of data engineering principles, including ETL/ELT processes, data modeling, and data warehousing
• Experience with workflow orchestration tools, such as Airflow
• Experience with ETL/ELT tools, such as Fivetran
• Experience with cloud data warehouse and transformation tools (e.g.,, snowflake, DBT etc)

Nice to Haves

• Experience working with AI workflow orchestration tools such as AirOps or Vectorshift
• Experience working with entitlements and connecting the CRM to the Platform to gatekeep product features
• Experience setting up large scale integrations to pull data from various Google products
• Experience working with BI tools (Tableau, SiSense, Sigma, or Looker etc)
• Ability to communicate technical concepts to both technical and non-technical audiences through visualizations and presentations
• Ability to partner with leadership and stakeholders across the company to understand business needs and how these can be addressed through analytics
• Experience in a B2B or SaaS environment, supporting functions such as sales, marketing, product development, and/or customer success.