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About the Role
Connor, Clark & Lunn Financial Group (CC&LFG) is establishing an AI Enablement Team to drive the responsible adoption of AI. The Senior Data Integration Engineer will design, build, and manage the essential pipelines, governance controls, and semantic context for enterprise-wide AI and analytics. This role is crucial for optimizing data for autonomous AI systems, enabling dynamic planning and action within defined guardrails, and laying the foundation for agentic AI in financial services.
Responsibilities
- Design and build scalable ETL/ELT processes to integrate diverse data sources.
- Enable real-time and event-driven data flows for autonomous agent decision-making.
- Implement robust data controls for security, privacy, compliance, and bias mitigation.
- Establish observability and audit trails for agentic AI pipelines.
- Enrich datasets with semantic context and metadata for AI applications like LLMs and RAG.
- Build connectors and APIs for dynamic data querying and action by AI systems.
- Support workflow orchestration across AI agents and business systems.
- Develop feedback loops and monitoring systems for AI actions.
- Ensure guardrails (policy enforcement, escalation paths, human-in-the-loop) are integrated.
- Document integration processes, orchestration patterns, and governance standards.
- Provide blueprints for AI agent interaction with enterprise data.
- Collaborate with AI engineers, governance leads, and business stakeholders.
- Drive alignment between technical infrastructure and AI business value.
Requirements
- Proven experience building resilient, scalable data pipelines for structured and unstructured datasets.
- Ability to collaborate with engineers, AI product teams, and business leaders.
- Familiarity with cloud platforms (Azure, AWS, Microsoft Fabric) and AI/ML services integration.
- Understanding of agentic AI concepts including workflow orchestration, autonomous decision-making, human-in-the-loop design, and safety guardrails.
- Knowledge of data governance practices: AI ethics, security, privacy, compliance, and auditability.
Skills
- SQL
- Python
- Orchestration frameworks (Airflow, Prefect, Dagster)
- Modern data transformation tools
- Data modeling
- Semantic enrichment
- Embeddings
- Vector databases for LLM/RAG pipelines
Location
- Canada
Work Type
- Hybrid
- Full-time
Experience Level
- Senior
Salary/Compensations
- $140,000 - $160,000
- Annual performance bonus
Benefits
- Meaningful work
- Continuous learning budgets
- Paid study days
- Support for professional designations
- Competitive total compensation
- Retirement savings support
- Wellness credits
- Enhanced parental leave
- Comprehensive health benefits
- Social events
- Volunteering opportunities
- Corporate social responsibility
- Flexible work practices
About the Company
- Connor, Clark & Lunn Financial Group (CC&LFG) is one of Canada's top performing asset managers.
- We are invested in our greatest asset, you.
- We foster belonging through collaboration, inclusion and flexibility.
- We prioritize your development.
- Your contributions are rewarded.
Equal Opportunity
- We are committed to providing an inclusive, accessible recruitment and selection process.
- We welcome and encourage applications from people with disabilities.
- Accommodations are available on request for candidates taking part in all aspects of the recruitment and selection process.