Senior Azure DataOps Engineer - Cloud Data & Pipelines

Source Code

Toronto

On-site

CAD 117,000 - 141,000

Full time

14 days+

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Job summary

Source Code seeks a Sr. DataOps/Cloud Data Engineer to lead Azure-based data operations and cloud data engineering initiatives.

Responsibilities include designing and optimizing CI/CD pipelines for databases, modeling data with Sybase Power Designer, and managing data lakes/lakehouses across OLAP/OLTP environments in cloud platforms. The role requires expert Azure knowledge and substantial experience with SQL databases (Azure SQL, Synapse) and other databases (Oracle, IMS, DB2).

Qualifications

Expert experience with Microsoft Azure technologies including pipeline, data lake, data lakehouse, Azure monitoring tools.
DataOPS experience.
Expert data/database administration experience with Azure SQL, Synapse, Oracle, IMS, DB2, etc.

Responsibilities

Review project artefacts and maintenance releases (Use Case, System Requirements Specification).
Deliver system design documents conforming to Ministry standards.
Design, develop and optimize data/database CI/CD pipelines.
Design data models using Sybase Power Designer.
Prepare DACPAC changes and develop Azure CI/CD release pipelines.
Promote database changes through environments (Dev, IT, QA, UAT, Prod).
Provision data in cloud environments per requirements.
Design and implement data workflows for OLAP/OLTP to SaaS/PaaS/IaaS in cloud.
Design, develop and implement data warehouse, data lake, and data lakehouse.