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Tech Stack
Tools & technologiesAzureCloudETLNoSQL
About the role
Key responsibilities & impact- Lead end-to-end design and technical delivery of complex AI/BI architecture initiatives aligned with enterprise strategy and roadmaps.
- Provide technical leadership across programs ensuring robust design principles, effective tools, risk management, and delivery excellence.
- Approve and govern solution architecture for AI/Data products to ensure alignment with enterprise AI/analytics standards and industry best practices.
- Translate business requirements into scalable AI/analytics solutions, selecting appropriate technologies and approaches.
- Design and validate secure, reliable, high-performing analytics architectures that meet business needs and service expectations.
- Develop AI & analytics data models (e.g., AI agents, data marts) and ensure effective data pipelines for transformation, quality, and loading.
- Support solution implementation and operations through documentation, training, stakeholder communication, and issue resolution.
Requirements
What you’ll need- Bachelor’s degree in a relevant field with 7+ years of progressive experience in AI/data architecture within large, complex organizations.
- Proven track record (5+ years) delivering enterprise-scale AI and analytics solutions, combining strong technical and analytical expertise.
- Deep knowledge of data architecture, databases (relational, NoSQL, NewSQL), and advanced analytics/AI/ML techniques for high-volume and complex datasets.
- Direct experience with AI/ML, LLMs, model lifecycle management, and responsible AI, including governance and risk frameworks.
- Strong expertise in modern data platforms and tools (e.g., Azure Data Factory, Databricks, ETL/ELT, big data, cloud-based analytics, BI tools like Power BI).
- Strategic thinker with the ability to align business, product, and technical needs in enterprise environments.
- Excellent communication, collaboration, and analytical skills, with the ability to address complex challenges, regulatory considerations, and stakeholder needs.
- TOGAF, Databricks Machine Learning or Data Engineering professional certification is an asset.
- Experience with version control, CI/CD, or MLOps practices.
- Knowledge of Agile development best practices, and experience with project management tools such as JIRA, Azure DevOps, and Confluence.
Benefits
Comp & perks- A flexible benefits program that allows each employee to select the level of coverage needed for their family in the areas of health, dental, insurance and disability.
- A paid maternity and parental leave benefit that offers up to 20 weeks of paid leave for birth-giving parents and up to 12 weeks for other eligible parents, providing flexibility and support during this important life event.
- Valuable retirement savings plans, including a savings plan with company stock as an investment option.
- Paid time off/vacation/sick, plus paid personal days off (depending on location), and paid holidays.
- An Employee and Family Assistance Program.
- A Wellness Program, which focuses on supporting healthier employees by providing tools, resources, and opportunities to improve physical, mental, social, and financial well-being.
- Enbridge’s FlexWork (hybrid work model) offers eligible employees (Manager and below) the option to work from home on Wednesdays and Fridays, opt for a compressed work week schedule, and have flexible start and end times. Role requirements determine your eligibility for each option.
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
AI architecturedata architecturedatabasesadvanced analyticsmachine learningdata modelingdata pipelinesETLbig datacloud-based analytics
Soft Skills
technical leadershipstrategic thinkingcommunicationcollaborationanalytical skillsproblem-solvingstakeholder managementrisk managementdelivery excellencedocumentation
Certifications
TOGAFDatabricks Machine Learning certificationData Engineering certification
