Our client, is seeking a highly detailed and forward-thinking Data Engineer III to join their enterprise Cloud Compliance and Governance division. Full-time The salary range listed reflects the base pay for this role at Altus Group and is provided where required by local regulations. Position Type: 4-Month Contract (Possibility of extension or conversion based on performance and business needs). Start Date: ASAP. Schedule: Monday to Friday, core business hours (37.5 hours per week / 7.5 hours per day). Work

Location:
Hybrid (2 days per week on-site at the downtown Toronto corporate office, 3 days remote. On-site requirements may scale up to 4 days based on project delivery phases). High-Innovation Tech Stack: Work at the bleeding edge of engineering by leveraging Azure AI Foundry, OpenAI models, and automated policy testing frameworks. Agile Autonomy: Benefit from a cooperative hybrid workspace structure with strong long-term extension and permanent conversion potential. DevSecOps Impact: Play a pivotal role in securing critical cloud landing zones, impacting multi-cloud policy workflows at a massive scale. AI-Driven Automated Policy Testing Design, implement, and maintain AI-driven automated test frameworks to validate the enforcement logic of Compliance-as-Code (CaC) policies across GCP, AWS, and Azure. Establish virtual test environments using Azure Foundry and Azure ML to generate realistic, mock cloud topologies (network and IAM configurations) to simulate complex policy failure conditions. Leverage Azure AI Search, Azure OpenAI, and Azure Machine Learning to architect intelligent validation routines that predict compliance anomalies and recommend remediation. Develop comprehensive positive, negative, and edge-exception test cases,



maintaining a robust test suite library that maps tightly back to banking regulations. Continuous Testing & CI/CD Integration Embed AI-assisted compliance validation routines into CI/CD infrastructure using GitHub Actions and automated workflows. Leverage GitHub Copilot for rapid scripting efficiency and utilize Copilot Studio to build streamlined, replicable policy templates. Programmatically automate security scanning and behavioral validation of multi-cloud Terraform deployments using Python. Coordinate closely with Security Architects, Cloud Service Owners, and DevSecOps squads to define and test guardrails aligned with regulatory mandates (NIST, ISO 27001, SOC 2). Build and test real-time monitoring and logging architectures to capture compliance violations as they happen. Ensure all IaaS, PaaS, and SaaS code artifacts are fully traceable and auditable for internal risk assessments and external regulators.

Experience:
5+ years of progressive experience within Cloud Security, DevSecOps, Cloud Data Engineering, or Systems Architecture roles. In-depth engineering knowledge across Google Cloud Platform (GCP), Microsoft Azure, and Amazon Web Services (AWS). Programmatic Automation: Highly proficient in Python for building automation test frameworks, scripts, and utility tools. Infrastructure as Code (IaC): Deep technical expertise configuring, deploying, and scanning Terraform environments. DevOps Pipelines:



Solid experience managing code integration, automated validation rules, and templates via CI/CD pipelines (specifically GitHub Workflows/Actions). Agile Management: Nice-to-Have Skills & Assets: Active Cloud Architecture or DevSecOps engineering certifications (AWS, Azure, GCP, or HashiCorp). Prior technical experience within a banking or large financial institution. Experience with container infrastructure security and Kubernetes policy enforcement frameworks. Hands-on exposure to policy engines like Open Policy Agent (OPA), HashiCorp Sentinel, Azure Policy, or REGO. Familiarity with additional cloud templates and notation languages (Helm, ARM templates, JSON, YAML). If you are a Data Engineer professional who wants to push the boundaries of automation by combining artificial intelligence with multi-cloud data security, this role is built for you. Bring your Python, Terraform, and pipeline governance expertise to an industry-leading financial team in downtown Toronto today As a result, we are committed to developing and implementing strategies to increase the equity, diversity and inclusion within the workplace by examining our internal policies, practices, and systems throughout the entire lifecycle of our workforce, including its recruitment, retention and advancement for all employees. In addition to our deep commitment to respecting human rights, we are dedicated to positive actions to affect change to ensure everyone has full participation in the workforce free from any barriers, systemic or otherwise, especially equity-seeking groups who are usually underrepresented in Canada's workforce, including those who identify as women or non-binary/gender non-conforming; Indigenous or Aboriginal Peoples;

📌 Data Architect Data Analytics (Toronto)
🏢 eTeam
📍 Toronto