Position: Cloud Data Engineer

Location: Toronto, ON

Job ID#: RQ11576

Duration: 12 Months

Role Overview

We are seeking an experienced Cloud Data Engineer to support the design, development, implementation, and optimization of modern cloud-based data platforms and services. The successful candidate will contribute to enterprise data initiatives, including data pipeline development, cloud modernization, metadata management, governance integration, and DataOps automation.

Key Responsibilities

- Design and develop data pipelines from source systems through to end-user consumption.
- Optimize and enhance data pipeline performance and reliability.
- Develop scalable ETL/ELT processes, data pipelines, and integration solutions.
- Implement DataOps practices, including deployment automation, testing, monitoring, and operational support.
- Design and support cloud-native data engineering solutions and modern data platform architectures.
- Implement metadata, lineage, and data quality capabilities within cloud data environments.
- Develop integration solutions using APIs, event-driven architectures, batch processing, and streaming technologies.
- Automate metadata collection, data movement, and operational processes.
- Support cloud modernization and enterprise data migration initiatives.
- Collaborate with architects, data modelers, and governance teams to operationalize data standards, metadata, and common data models.
- Troubleshoot complex technical issues and develop practical solutions.
- Support performance optimization and scalability initiatives for cloud data platforms.

Qualifications

General Skills

- Demonstrated experience designing, implementing, and supporting cloud-based data platforms and services.
- Experience with cloud data platforms, data management, and data exchange technologies.
- Experience with commercial and open-source database development and management technologies.
- Experience managing Data as a Service (DaaS), Database as a Service (DBaaS), Data Warehouse as a Service (DWaaS),



and related storage platforms.
- Experience with data pipeline and workflow development, orchestration, deployment, and automation.
- Solid programming skills with the ability to integrate multiple platforms and automate tasks.
- Experience implementing DataOps principles, best practices, and Agile delivery methodologies.
- Experience with CI/CD processes and data provisioning automation.
- Experience supporting digital products, data analysis, data exchange, data provisioning, and data security.
- Extensive experience designing, developing, and implementing data migration and conversion solutions involving very large datasets.
- Experience working with OLAP and OLTP environments.
- Experience supporting cloud SaaS, PaaS, and IaaS environments.
- Experience designing data warehouses, data lakes, data lakehouses, fact/dimension models, and data mappings.
- Experience managing cloud data services including storage, repositories, key vaults, virtual machines, and related infrastructure.
- Experience with structured, semi-structured, and unstructured data ingestion and provisioning solutions.
- Experience with performance monitoring and tuning of DataOps environments.
- Excellent analytical, communication, presentation, problem-solving, and stakeholder engagement skills.
- Proven ability to deliver work within deadlines and contribute effectively in team environments.

Deliverables The selected candidate will contribute to:

- Data pipelines and integration services
- Automated metadata collection and synchronization processes
- Cloud data platform implementation and configuration




- Data quality and lineage enablement

- CI/CD and DataOps automation
- Data migration and interoperability services
- Cloud-hosted data products and reusable data services
- Metadata and governance platform integrations

Preferred Skills

- Experience with Databricks, Delta Lake, and Databricks SQL.
- Knowledge of Medallion Architecture.
- Experience with Microsoft Fabric and Azure Data Services.
- Experience with Microsoft Purview.
- Experience with Informatica or equivalent integration platforms.
- Experience operationalizing common data models and metadata repositories.
- Experience with graph technologies and semantic repositories.
- Knowledge of AODA and accessibility-related standards.
- Ability to adapt quickly to changing priorities and tight deadlines.
- Previous public sector experience is considered an asset.

Work Arrangement

- 5 days onsite

About Symbiotic Digital.

Symbiotic Digital provides the IT Experts you need that solve problems and get things done. See what the top 2% in their field can do for you. (Symbiotic Digital is a division of Symbiotic Group Inc.) We serve customers in two ways, we provide:

1. Digital Experts: IT Consulting expertise. Bright Minds That Produce Proven Results
2. Recruitment: Find The Right People You Need

Serving IT & Business leaders, Symbiotic Digital provides a business system that enable us to provide the Expert Technical staff needed to solve challenging business and IT problems. IT leaders in the most reputable organizations in Canada have relied on Symbiotic Digital to help them staff difficult assignments with proven Experts uniquely evaluated by our proven QMS- Quality Management System Staff Development Model. We are a 100% Indigenous owned company. Learn more online at https://www.symbioticgroup.com/home-sd/.

Please submit your most recent resume to: [email protected]

View All Jobs online at: https://www.symbioticgroup.com/view-jobs/

📌 Cloud Data Engineer (Toronto)
🏢 Symbiotic Digital
📍 Toronto