DataOps/Cloud Data Engineer

Lotus IT Solutions; Toronto; Presencial; CAD 110 000 - 157 000; Tempo integral

Resumo da oferta

The Ministry of Public and Business Service Delivery is seeking a Senior DataOps/Cloud Data Engineer to join the Toronto team onsite at 595 Bay St. You will design, implement, and support cloud-based data platforms, pipelines, and integration services to enable governance, quality, and interoperability across enterprise environments.

This senior role requires deep expertise in modern data engineering practices, cloud-native architectures, and collaboration with architects, governance teams, and

Qualificações

• Experience designing and supporting cloud-based data platforms and services.
• Strong ETL/ELT pipeline development experience.
• Experience with DataOps including CI/CD, testing, monitoring, and operator support.
• Experience with modern cloud data architectures (Data Lake, Data Lakehouse, Data Warehouse).
• Knowledge of metadata, lineage, and data quality in cloud environments.
• Experience with APIs, event-driven architectures, and batch/streaming data integrations.

Responsabilidades

• Design and develop scalable data pipelines and ETL/ELT processes.
• Implement and optimize cloud-based data platforms (Data Lake, Lakehouse, Warehouse).
• Develop integration solutions using APIs and event-driven or batch/streaming tech.
• Implement DataOps practices including CI/CD, deployment automation, testing, monitoring.

Conhecimentos

Cloud data engineering

ETL/ELT design

DataOps practices

CI/CD pipelines

Data governance

Formação académica

Bachelor's degree in Computer Science or equivalent

Ferramentas

Databricks

Delta Lake

Databricks SQL

Azure Data Factory

Informatica

Descrição da oferta de emprego

Ref: RQ11576

Contract - 12 Months (Extension Possible)

Onsite - Toronto (595 Bay St.)

Posted Date: 2026-10-20

Location: Onsite - Toronto (595 Bay St.)

Public Sector Experience: Required - OPS / Public Sector

Contract End Date: 2027-10-01

Rate: $97/hour

Overview

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.