Senior Data Architect/Modeller JP239
- Toronto, ON, Canada
Full-time
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Job details
- Job type
- Full-time
- Apply by
- Posting language
- English
- Posted
Original job description
The Senior Data Architect/Modeller will design and evolve enterprise data architecture and data models to enable scalable analytics, AI, and data products. The role will help establish the future-state data architecture, identify critical data assets, and define standards and integration patterns that enable data to be governed, reusable, accessible, and AI-ready.
Key Responsibilities
- Design and maintain enterprise data architecture and conceptual, logical, and physical data models supporting AI, analytics, and operational use cases.
- Define scalable architecture patterns for the integration, storage, transformation, sharing, and consumption of enterprise data.
- Design reusable data products and common data models that can support multiple business and AI use cases.
- Contribute to the organization's future-state data architecture, including transition from existing platforms and architectures.
- Identify and define critical data assets and domains required to support enterprise priorities.
- Establish and promote enterprise data architecture, modelling, interoperability, and integration standards.
- Partner with Data Governance teams to embed data ownership, quality, metadata, lineage, classification, and lifecycle requirements into architecture and data products.
- Assess data requirements and architecture implications for AI, Generative AI, machine learning, advanced analytics, and reporting initiatives.
- Work with business, Data & AI, architecture, engineering, and technology teams to translate business requirements into scalable data solutions.
- Identify architecture gaps, duplication, data silos, and opportunities to improve data reuse and interoperability across the enterprise.
More about this job
Responsibilities
The Senior Data Architect/Modeller at Pathlion will design and maintain enterprise data models and architecture for analytics and AI. They will also set standards, work with governance and business teams, and close gaps between data silos.
Requirements
Candidates need senior experience in enterprise data architecture and data modelling, including conceptual, logical and physical models. They also need to understand data governance, integration patterns and the data needs of AI and analytics.
Skills
- Enterprise data architecture
- Conceptual, logical and physical data modelling
- Data product design
- Common data model design
- Data integration patterns
- Data warehousing
- Data governance
- Metadata management
- Data lineage
- Data classification
- Data lifecycle management
- Data standards definition
- Data interoperability
- Architecture gap analysis
- Legacy platform transition
- Requirements translation
- Stakeholder collaboration
- AI and machine learning data requirements
- Advanced analytics data requirements
- Reporting data requirements
Categories
- Technology
- Data & Analytics
- Software
Keywords
- data architecture
- data modelling
- data modeling
- enterprise data architect
- conceptual data model
- logical data model
- physical data model
- data products
- common data model
- data governance
- metadata
- data lineage
- data quality
- data integration
- data warehousing
- AI readiness
- generative AI
- machine learning
- analytics
- data standards
Seniority
Senior