At a Glance
- Tasks: Design and implement cloud-based data platforms and scalable data pipelines.
- Company: Join a dynamic team within the Ontario Public Sector in Toronto.
- Benefits: Competitive hourly rate of $97, with potential for contract extension.
- Other info: Collaborative Agile environment with opportunities for professional growth.
- Why this job: Make an impact on public service through innovative data solutions.
- Qualifications: Experience in cloud data engineering and DataOps practices required.
The predicted salary is between 97 - 97 $ per hour.
The Ministry of Public and Business Service Delivery and Procurement, through the Government Services Integration Cluster, is seeking a Senior DataOps/Cloud Data Engineer to join their team in Toronto. The successful candidate will design, implement, and support cloud-based data platforms, pipelines, and integration services that enable data governance, quality, and interoperability across enterprise environments. This is a fully onsite, senior-level engagement requiring deep expertise in modern data engineering practices and cloud-native architectures.
Key Responsibilities
- Design and develop scalable data pipelines and ETL/ELT processes from source systems to end users.
- Implement and optimize cloud-based data platforms, including Data Lake, Data Lakehouse, and Data Warehouse architectures.
- Develop and maintain integration solutions using APIs, event-driven architectures, and batch or streaming technologies.
- Implement DataOps practices including CI/CD pipelines, deployment automation, testing, monitoring, and operational support.
- Automate metadata collection, data movement, and operational processes across the platform.
- Enable data quality, lineage, and metadata capabilities within cloud data environments.
- Support cloud modernization and large-scale data migration initiatives involving OLAP and OLTP environments.
- Manage cloud data services including storage repositories, key vaults, virtual machines, and Data Lake configurations.
- Collaborate with architects, data modellers, and governance teams to operationalize data standards and common data models.
- Perform DataOps performance monitoring, tuning, and troubleshooting of complex technical issues.
- Deliver cloud-hosted data products and reusable data services aligned to enterprise data governance and security best practices.
Must-Have Requirements
- Demonstrated experience designing, implementing, and supporting cloud-based data platforms and services.
- Strong experience developing scalable ETL/ELT processes, data pipelines, and integration solutions.
- Experience implementing DataOps practices including deployment automation, CI/CD, testing, monitoring, and operational support.
- Experience with cloud-native data engineering and modern data platform architectures (SaaS, PaaS, IaaS).
- Experience implementing metadata, lineage, and data quality capabilities within cloud data environments.
- Experience developing integration solutions using APIs, event-driven architectures, and batch or streaming technologies.
- Experience with Databricks, Delta Lake, and Databricks SQL.
- Knowledge of Medallion Architecture.
- Experience with Azure Data Services and/or Azure Data Factory.
- Experience with Informatica or equivalent enterprise integration platforms.
- Experience operationalizing common data models and metadata repositories.
- Knowledge of data governance, security, and operational best practices for cloud platforms.
- Experience supporting cloud modernization and data migration initiatives.
- Strong analytical, organizational, and communication skills with a track record of meeting deadlines.
Nice-to-Have Skills
- Experience with Microsoft Fabric and Microsoft Purview.
- Experience with graph technologies and semantic repositories.
- Knowledge and understanding of AODA and related accessibility standards.
- Prior experience in the Ontario Public Sector (OPS) or broader public sector environment.
- Ability to adapt to changing project priorities and tight delivery timelines.
Work Environment
This is a fully onsite position, five days per week, based at 595 Bay St., Toronto. No security clearance is required. The team follows Agile project development and deployment practices. The role involves collaboration with architects, data modellers, and governance stakeholders across the Government Services Integration Cluster.
Final role details, responsibilities, and terms will be confirmed with shortlisted candidates. Compensation may vary based on experience. Errors and omissions excepted.
DataOps/Cloud Data Engineer in Toronto employer: Lotus IT Solutions
Join the Ministry of Public and Business Service Delivery in Toronto, where we foster a collaborative and innovative work culture that values your contributions as a Senior Full Stack Developer. Enjoy competitive benefits, opportunities for professional growth, and the chance to make a meaningful impact on community services through cutting-edge technology. With a focus on Agile methodologies, you'll thrive in a dynamic environment that encourages creativity and problem-solving.
