RQ11576 – Data Ops/Cloud Data Engineer – Senior
Senior contract Data Ops/Cloud Data Engineer for Ontario's Ministry of Public and Business Service Delivery (via S M Software Solutions). Day to day: design, build, optimize, and operate Azure cloud data pipelines and DataOps automation using Databricks, Delta Lake, Azure Data Factory, and Informatica, covering metadata, governance, data quality, and migration. Onsite in Toronto.
- Compensation
- Not disclosed
- Location
- Toronto, Canada
- Work setup
- Not specified
- Seniority
- Senior
- Employment
- Not specified
- Experience
- Not specified
- Category
- Data engineering
- Posted
Skills
Must have
- Experience with Databricks, Delta Lake, and Databricks SQL
- Knowledge of Medallion Architecture
- Experience with Azure Data Services and Azure Data Factory
- Experience with Informatica or equivalent integration platforms
- Experience operationalizing common data models and metadata repositories
- Experience designing, implementing, and supporting cloud-based data platforms and services
- Experience developing scalable ETL/ELT processes, data pipelines, and integration solutions
- Experience implementing DataOps practices, including deployment automation, testing, monitoring, and operational support
- Experience implementing metadata, lineage, and data quality capabilities within cloud data environments
- Experience with CI/CD and data provisioning automation
- Experience with data conversion and migration of Very Large Data across OLAP/OLTP to SaaS/PaaS/IaaS environments
- Experience designing fact/dimension models, data warehouses, data lakes, and data lakehouses
- Experience developing integration solutions using APIs, event-driven architectures, and batch or streaming technologies
- Knowledge of data governance, security, and operational best practices for cloud platforms
- Experience with DataOps performance monitoring and tuning
- Strong analytical, problem-solving, and communication skills
Nice to have
- Prior Ontario Public Service (OPS) or public sector experience
- Experience with Microsoft Purview
- Experience with Microsoft Fabric
- Experience with graph technologies and semantic repositories
- Knowledge of the Accessibility for Ontarians with Disabilities Act (AODA) and related standards
Full description
Client: Ministry of Public and Business Service Delivery and Procurement – RQ11576
We are seeking a
Senior Data Ops/Cloud Data Engineer
with extensive experience in cloud-based data platforms, data engineering, data pipeline development, integration services, and DataOps practices. The ideal candidate will have hands‑on experience with Databricks, Delta Lake, Databricks SQL, Medallion Architecture, Azure Data Services, Azure Data Factory, and Informatica or equivalent integration platforms. The successful candidate will support the design, development, optimization, automation, and operational management of cloud data solutions, including metadata management, data governance, data quality, data migration, and enterprise data interoperability.
Role Snapshot
Job Title: RQ11576 – Data Ops/Cloud Data Engineer – Senior
Client: Ministry of Public and Business Service Delivery and Procurement
Work Location: 595 Bay Street, Toronto, Ontario, Canada
Work Arrangement: Onsite – 5 Days per Week
Estimated Start Date: September 21, 2026
Estimated End Date: October 1, 2027
Business Days: 283.00
Extension: Probable after the initial mandate
Hours: 7.25 hours per day
Security Level: No Clearance Required
Must Have
Experience with Databricks, Delta Lake, and Databricks SQL.
Knowledge of Medallion Architecture.
Experience with Azure Data Services and Azure Data Factory.
Experience with Informatica or equivalent integration platforms.
Experience operationalizing common data models and metadata repositories.
Nice to Have
Prior Ontario Public Service (OPS) or public sector experience.
Experience with Microsoft Purview and Microsoft Fabric.
Description
Responsibilities
Design and develop data pipelines from source systems to end users.
Optimize data pipelines to improve performance, efficiency, and reliability.
General Skills
Experience with cloud data platforms, data management, and data exchange tools and technologies.
Experience with commercial and open-source data and database development and management, specializing in data storage and the configuration and management of Cloud Data as a Service (DaaS), application Database as a Service (DBaaS), Data Warehouses as a Service (DaaS), and other storage platforms in both cloud and on-premises environments.
Experience with data pipeline and workflow development, orchestration, deployment, and automation, specializing in programming and pipelines to create and manage data flows and data movement.