The Senior DataOps/Cloud Data Engineer role focuses on building and optimizing cloud-based data infrastructure using Microsoft Azure technologies. The engineer will support complex data migration, data pipeline development, CI/CD implementation, database performance tuning, and end-to-end database administration. Responsibilities include designi
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ng and deploying data warehouses, data lakes, and lakehouses, developing automated scripts, resolving incidents, and supporting large-scale data provisioning in SaaS, PaaS, and IaaS environments. This position demands expertise in Azure DevOps, DACPAC, PL/SQL, and SQL Server, as well as strong hands-on experience in cloud monitoring and data performance tuning.
Advantages
•Hands-on exposure to cutting-edge Microsoft Azure cloud technologies
•Opportunity to lead critical data migration and provisioning initiatives
•Engage in full-cycle CI/CD data pipeline development and automation
•Involvement in high-performance OLAP and OLTP environment transformation
•Collaborative knowledge transfer and team contribution opportunities
Responsibilities
•Design, develop, and optimize data/database CI/CD pipelines using Azure tools
•Develop and maintain database change processes using DACPAC and Azure DevOps
•Implement and monitor data migration, conversion, and loading processes
•Architect and manage fact/dimension models, data warehouses, lakes, and lakehouses
•Administer, configure, and optimize Azure SQL, Synapse, and Oracle databases
•Build and test scripts for backup, recovery, and automation
•Troubleshoot and resolve incidents, optimize database performance
•Document designs, implementations, and provide knowledge transfer to teams
Qualifications
•Minimum 5+ years of expert-level experience with Microsoft Azure technologies (Azure DevOps, pipelines, storage, key vault, virtual machines, monitoring tools)
•Proven experience with DACPAC deployment and cloud-based CI/CD automation
•Strong hands-on expertise in Azure SQL Database, Synapse, and Oracle database administration
•Proficiency in PL/SQL, SQL Server stored procedures, performance tuning
•Skilled in building data platforms supporting structured, semi-structured, and unstructured data
•Familiarity with DataOps principles, Agile development, and cloud-based data replication
•(Nice to have) Certifications in Microsoft Azure technologies
Summary
This role offers the opportunity to lead mission-critical cloud data initiatives using modern Microsoft Azure solutions. It combines technical depth in database administration and automation with the innovation of DataOps practices, ideal for experienced engineers aiming to shape high-performance, secure, and scalable cloud data environments.
Randstad Canada is committed to fostering a workforce reflective of all peoples of Canada. As a result, we are committed to developing and implementing strategies to increase the equity, diversity and inclusion within the workplace by examining our internal policies, practices, and systems throughout the entire lifecycle of our workforce, including its recruitment, retention and advancement for all employees. In addition to our deep commitment to respecting human rights, we are dedicated to positive actions to affect change to ensure everyone has full participation in the workforce free from any barriers, systemic or otherwise, especially equity-seeking groups who are usually underrepresented in Canada's workforce, including those who identify as women or non-binary/gender non-conforming; Indigenous or Aboriginal Peoples; persons with disabilities (visible or invisible) and; members of visible minorities, racialized groups and the LGBTQ2+ community.
Randstad Canada is committed to creating and maintaining an inclusive and accessible workplace for all its candidates and employees by supporting their accessibility and accommodation needs throughout the employment lifecycle. We ask that all job applications please identify any accommodation requirements by sending an email to accessibility@randstad.ca to ensure their ability to fully participate in the interview process.
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The Senior DataOps/Cloud Data Engineer role focuses on building and optimizing cloud-based data infrastructure using Microsoft Azure technologies. The engineer will support complex data migration, data pipeline development, CI/CD implementation, database performance tuning, and end-to-end database administration. Responsibilities include designing and deploying data warehouses, data lakes, and lakehouses, developing automated scripts, resolving incidents, and supporting large-scale data provisioning in SaaS, PaaS, and IaaS environments. This position demands expertise in Azure DevOps, DACPAC, PL/SQL, and SQL Server, as well as strong hands-on experience in cloud monitoring and data performance tuning.
Advantages
•Hands-on exposure to cutting-edge Microsoft Azure cloud technologies
•Opportunity to lead critical data migration and provisioning initiatives
•Engage in full-cycle CI/CD data pipeline development and automation
•Involvement in high-performance OLAP and OLTP environment transformation
•Collaborative knowledge transfer and team contribution opportunities
Responsibilities
•Design, develop, and optimize data/database CI/CD pipelines using Azure tools
...
•Develop and maintain database change processes using DACPAC and Azure DevOps
•Implement and monitor data migration, conversion, and loading processes
•Architect and manage fact/dimension models, data warehouses, lakes, and lakehouses
•Administer, configure, and optimize Azure SQL, Synapse, and Oracle databases
•Build and test scripts for backup, recovery, and automation
•Troubleshoot and resolve incidents, optimize database performance
•Document designs, implementations, and provide knowledge transfer to teams
Qualifications
•Minimum 5+ years of expert-level experience with Microsoft Azure technologies (Azure DevOps, pipelines, storage, key vault, virtual machines, monitoring tools)
•Proven experience with DACPAC deployment and cloud-based CI/CD automation
•Strong hands-on expertise in Azure SQL Database, Synapse, and Oracle database administration
•Proficiency in PL/SQL, SQL Server stored procedures, performance tuning
•Skilled in building data platforms supporting structured, semi-structured, and unstructured data
•Familiarity with DataOps principles, Agile development, and cloud-based data replication
•(Nice to have) Certifications in Microsoft Azure technologies
Summary
This role offers the opportunity to lead mission-critical cloud data initiatives using modern Microsoft Azure solutions. It combines technical depth in database administration and automation with the innovation of DataOps practices, ideal for experienced engineers aiming to shape high-performance, secure, and scalable cloud data environments.
Randstad Canada is committed to fostering a workforce reflective of all peoples of Canada. As a result, we are committed to developing and implementing strategies to increase the equity, diversity and inclusion within the workplace by examining our internal policies, practices, and systems throughout the entire lifecycle of our workforce, including its recruitment, retention and advancement for all employees. In addition to our deep commitment to respecting human rights, we are dedicated to positive actions to affect change to ensure everyone has full participation in the workforce free from any barriers, systemic or otherwise, especially equity-seeking groups who are usually underrepresented in Canada's workforce, including those who identify as women or non-binary/gender non-conforming; Indigenous or Aboriginal Peoples; persons with disabilities (visible or invisible) and; members of visible minorities, racialized groups and the LGBTQ2+ community.
Randstad Canada is committed to creating and maintaining an inclusive and accessible workplace for all its candidates and employees by supporting their accessibility and accommodation needs throughout the employment lifecycle. We ask that all job applications please identify any accommodation requirements by sending an email to accessibility@randstad.ca to ensure their ability to fully participate in the interview process.
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