Ref: RQ11576Contract - 12 Months (Extension Possible)Onsite - Toronto (595 Bay St.)Posted Date: Location: Onsite - Toronto (595 Bay St.)Public Sector Experience: Required - OPS / Public SectorContract End Date: Rate: $97/hourOverviewThe Ministry of Public and Business Service Delivery and Procurement, through the Government Services Integration Cluster, is seeking a Senior Data Ops/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 ResponsibilitiesDesign and develop scalable data pipelines and ETL/ELT processes from source systems to end usersImplement and optimize cloud-based data platforms, including Data Lake, Data Lakehouse, and Data Warehouse architecturesDevelop and maintain integration solutions using APIs, event-driven architectures, and batch or streaming technologiesImplement Data Ops practices including CI/CD pipelines, deployment automation, testing, monitoring, and operational supportAutomate metadata collection, data movement, and operational processes across the platformEnable data quality, lineage, and metadata capabilities within cloud data environmentsSupport cloud modernization and large-scale data migration initiatives involving OLAP and OLTP environmentsManage cloud data services including storage repositories, key vaults, virtual machines, and Data Lake configurationsCollaborate with architects, data modellers, and governance teams to operationalize data standards and common data modelsPerform Data Ops performance monitoring, tuning, and troubleshooting of complex technical issuesDeliver cloud-hosted data products and reusable data services aligned to enterprise data governance and security best practicesMust-Have RequirementsDemonstrated experience designing,



implementing, and supporting cloud-based data platforms and servicesStrong experience developing scalable ETL/ELT processes, data pipelines, and integration solutionsExperience implementing Data Ops practices including deployment automation, CI/CD, testing, monitoring, and operational supportExperience with cloud-native data engineering and contemporary data platform architectures (Saa S, Paa S, Iaa S)Experience implementing metadata, lineage, and data quality capabilities within cloud data environmentsExperience developing integration solutions using APIs, event-driven architectures, and batch or streaming technologiesExperience with Databricks, Delta Lake, and Databricks SQLKnowledge of Medallion ArchitectureExperience with Azure Data Services and/or Azure Data FactoryExperience with Informatica or equivalent enterprise integration platformsExperience operationalizing common data models and metadata repositoriesKnowledge of data governance, security, and operational best practices for cloud platformsExperience supporting cloud modernization and data migration initiativesStrong analytical, organizational, and communication skills with a track record of meeting deadlinesNice-to-Have SkillsExperience with Microsoft Fabric and Microsoft PurviewExperience with graph technologies and semantic repositoriesKnowledge and understanding of AODA and related accessibility standardsPrior experience in the Ontario Public Sector (OPS) or broader public sector environmentAbility to adapt to changing project priorities and tight delivery timelinesWork EnvironmentThis 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.#J-18808-Ljbffr

📌 Dataops/Cloud Data Engineer (Toronto)
🏢 Lotus IT Solutions
📍 Toronto