Senior Data Architect
| Company | Cloud SynApps |
|---|---|
| Location | Toronto, ON, Canada |
| Salary | $Not Provided – $Not Provided |
| Type | Full-Time |
| Degrees | |
| Experience Level | Senior |
Requirements
- Knowledge and experience in information resource management tools and techniques
- Experience with at least two different platforms, operating systems, environments, database technologies, languages and communications protocols
- Knowledge of performance considerations for different database designs in different environments
- Experience in structured methodologies for the design, development and implementation of applications
- Experience in systems analysis and design in large or medium systems environments
- Experience in the use of Computer Aided Software Engineering (CASE) tools for the development and documentation of data architectures and detailed data models
- Experience in the use of data modelling methods and tools (e.g. ERWIN, VISIO, PowerDesigner) including a working knowledge of metadata structures, repository functions, and data dictionaries
- Knowledge and experience in the use of information retrieval packages
- Awareness of emerging I&IT trends and directions
- Experience in monitoring and enforcing data modelling/normalization standards
- Experience in developing enterprise architecture deliverables (e.g. models)
- Excellent analytical, problem-solving and decision-making skills; verbal and written communication skills; interpersonal and negotiation skills
- A team player with a track record for meeting deadlines
Responsibilities
- Develops and implements the data architecture for application development in a complex and distributed environment, including the determination of the flow and distribution of data, the location of databases, and data access methods
- Provides a standard common business vocabulary, expresses strategic data requirements, outlines high-level integrated designs to meet these requirements, and aligns with the enterprise strategy and related business architecture
Preferred Qualifications
- Experience with middleware and gateways
- Experience in designing/developing an automated data distribution mechanism
- Knowledge and understanding of object-oriented analysis and design techniques
- Knowledge and understanding of Information Management principles, concepts, policies and practices
- Experience creating detailed data standards to enable integration with other systems
- Experience reviewing conceptual, logical and physical data models for quality and adherence to standards
- Knowledge and understanding of dimensional and relational data models
- Knowledge and experience in information resource management tools and techniques