Senior Data Platform & BI Lead

RSM Canada Operations ULC

Toronto

Hybrid

CAD 88,000 - 162,000

Full time

4 days ago
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Job summary

RSM Canada Operations ULC is seeking a senior data & BI professional to design scalable data models and build end-to-end ETL pipelines. You will develop semantic models and dashboards based on business needs, and collaborate with clients and regional teams to drive data-driven decisions.

The role requires 5+ years in BI, data modeling, and data pipeline development across multiple domains, with strong SQL and cloud platform experience (Azure/AWS/GCP). Hybrid work arrangements are common.

Qualifications

  • Bachelor's degree or equivalent in Math, CS, IS, Finance, Economics or Analytics.
  • 5+ years designing data models across multiple domains.
  • 5+ years building BI solutions and data pipelines.
  • 5+ years ingesting data into data lakes/warehouses.
  • Proficient in SQL; experience with Python/Scala.
  • Experience with major cloud platforms (Azure, AWS or GCP).
  • Experience with data platforms like Fabric, Databricks or Snowflake.
  • Experience with BI tools like Power BI, Quick Sight or Tableau.

Responsibilities

  • Create and maintain dimensional and 3NF data models.
  • Design and develop ETL pipelines consolidating data from multiple sources.
  • Develop Semantic Models and reports/dashboards based on business requirements.
  • Facilitate requirements sessions and analyze data needs to support business objectives.
  • Collaborate with clients and teams across regions.

Skills

SQL
Python/Scala
Data modeling
BI reporting
Communication

Education

Bachelor's degree

Tools

Databricks
Snowflake
Power BI
Azure/AWS/GCP
Git/CI-CD

Job description

RSM Canada Operations ULC is seeking a senior data & BI professional to design scalable data models and build end-to-end ETL pipelines. You will develop semantic models and dashboards based on business needs, and collaborate with clients and regional teams to drive data-driven decisions.

The role requires 5+ years in BI, data modeling, and data pipeline development across multiple domains, with strong SQL and cloud platform experience (Azure/AWS/GCP). Hybrid work arrangements are common.

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