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Onsite - Databricks Administrator to admin and support Azure- data platform, focus Databricks, data

Job in Vancouver, BC, Canada
Listing for: S.i. Systems
Full Time position
Listed on 2025-12-30
Job specializations:
  • IT/Tech
    Data Engineer, Cloud Computing, Data Analyst, Database Administrator
Job Description & How to Apply Below
Position: Onsite - Databricks Administrator to admin and support Azure-based data platform, with focus on Databricks, data

S.i. Systems global client is seeking a Onsite - Databricks Administrator to admin and support Azure-based data platform, with focus on Databricks, data pipeline orchestration (Azure Data Factory) and environment management (Unity Catalog)

Onsite 5 days / week in downtown Vancouver (3 days / wk after probation period)

2 - 3 weeks vacation

Full benefits

$95, - $, / annum and 8 - 12% annual bonus

MUST HAVE SKILLS

  • Databricks
    , data pipeline orchestration using tools like Azure Data Factory (ADF), and environment management using Unity Catalog.
  • A strong foundation in data engineering,
    cloud data administration, and data governance
  • Development experience using SQL and Python (Pyspark) is required.
  • Experience ADMINISTERING DATABRICKS ENVIRONMENT - Must love ops!

  • Unity catalogue governance
  • Pipeline monitoring
  • Ensuring jobs running performantly, thinking how to reduce costs
  • Cluster creation
  • Role based access
  • Setting up right compute for different workloads
  • Knowledge of databricks best practices
  • NICE TO HAVE:

  • Knowledge or experience with APIM
  • We are seeking a highly skilled and versatile Cloud Data Administrator to join our Data Operations team.

    Reporting to the Team Lead, Data Operations, the Cloud Data Administrator plays a key role in the administration and support of our Azure-based data platform, with a particular focus on Databricks, data pipeline orchestration using tools like Azure Data Factory (ADF), and environment management using Unity Catalog.

    A strong foundation in data engineering, cloud data administration, and data governance is essential.

    Development experience using SQL and Python is required. Knowledge or experience with APIM is nice to have.

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