Closed listing
Cloud Architect
- Toronto, ON, Canada
$60 to $80 CAD / hour · Contract
This opening has closed.
The original listing is kept below for reference.
Job details
- Pay
- $60 to $80 CAD / hour
- Job type
- Contract
- Closing date
- Experience
- 6+ years of experience in Business Intelligence, Data Engineering, Analytics Engineering, or a similar role.
- Posting language
- English
- Posted
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Search current openingsOriginal job description
Archived listing. The details below describe a past opening.
🚀 Hiring: Senior Business Intelligence Engineer / Cloud Architect
📍 Location: Toronto, ON – Hybrid
💼 Type: Contract / Full-Time
🏢 Department: Business Intelligence
We are looking for a Senior Business Intelligence Engineer to support the development of a Consolidated Ad Revenue Reporting platform. This role sits at the intersection of Data Engineering, Business Intelligence, Business Analysis, and Cloud Architecture, serving as a key bridge between backend data platforms and front-end reporting solutions.
Must Haves:
- 6+ years of experience in Business Intelligence, Data Engineering, Analytics Engineering, or a similar role.
- Strong SQL skills, including complex joins, aggregations, and query optimization.
- Experience working in large-scale enterprise data environments as a BI Developer / Data Engineer.
- Strong knowledge of dimensional data modeling, data warehousing, and semantic layers.
- Understanding of ETL/ELT and data integration patterns.
- Experience with Google Cloud Platform (GCP) and cloud-based analytical platforms.
- Experience with Strategy / MicroStrategy or similar enterprise BI platforms.
- Experience with BigQuery, dbt, Dataflow, Airflow, or similar cloud technologies.
- Experience designing and maintaining enterprise semantic layers.
More about this job
Responsibilities
Support development of a consolidated advertising revenue reporting platform, bridging backend data platforms and front-end reporting solutions. Contribute across data engineering, business intelligence, business analysis, and cloud architecture, including the design and maintenance of enterprise semantic layers.
Requirements
Requires at least six years of experience in business intelligence, data engineering, analytics engineering, or a similar role, with strong SQL skills and experience in large-scale enterprise data environments. Candidates should have expertise in dimensional modeling, data warehousing, semantic layers, ETL/ELT, GCP-based analytics, and enterprise BI platforms such as MicroStrategy, along with tools such as BigQuery, dbt, Dataflow, or Airflow.
Skills
- Business Intelligence
- Data Engineering
- Analytics Engineering
- SQL
- Query Optimization
- Dimensional Data Modeling
- Data Warehousing
- Semantic Layers
- ETL/ELT
- Data Integration
- Google Cloud Platform
- MicroStrategy
- BigQuery
- dbt
- Dataflow
- Airflow
Visa sponsorship
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Categories
- Data & Analytics
- Technology
- Software
- Finance & Accounting
Keywords
- Business Intelligence
- Data Engineering
- Analytics Engineering
- Business Analysis
- Cloud Architecture
- Consolidated Advertising Revenue Reporting
- SQL
- Complex Joins
- Aggregations
- Query Optimization
- Enterprise Data Environments
- Dimensional Data Modeling
- Data Warehousing
- Semantic Layers
- ETL/ELT
- Data Integration
- Google Cloud Platform
- Cloud Analytics
- MicroStrategy
- BigQuery
- dbt
- Dataflow
- Airflow
- Telecommunications
- Banking
- Financial Services