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About the Role
FSRA is a financial services regulator dedicated to ensuring financial safety, fairness, and choice for Ontarians. This role is crucial in designing, implementing, and managing data architecture solutions to support the organization's strategic business goals, ensuring data quality, accessibility, and security.
Responsibilities
- Lead the architecture, design, and deployment of data solutions to meet business and technical requirements.
- Develop and implement data strategies supporting business objectives and ensuring data integrity, backup, storage, security, and availability.
- Design and maintain data models adhering to industry standards and best practices.
- Develop and implement processes for extracting, transforming, and loading data from various sources.
- Oversee the integration of data systems for seamless data flow between platforms.
- Establish and enforce data governance policies and procedures for data quality, security, and regulatory compliance.
- Maintain inventories of data assets, providing metadata and context for data discovery and usage.
- Engage with stakeholders, IT teams, and vendors to gather requirements and provide updates on data architecture initiatives.
- Collaborate with the Solution Architect on architecture artifacts and maintain the architecture repository.
- Create and manage high-quality architecture artifacts, maintain the architecture repository, and present them at the Architecture Review Board.
- Regularly evaluate existing and emerging data technologies to recommend improvements and innovations.
- Conduct performance code reviews and create/review UML and sequence diagrams.
- Monitor and optimize the performance of data systems.
- Provide architectural guidance to project teams to ensure adherence to Data standards.
- Manage and mentor a team of data professionals, providing architectural guidance and support.
- Foster a team environment with curiosity, problem-solving, holistic thinking, passion, and an ownership mentality.
Requirements
- Bachelor’s degree in computer science, Information Technology, Data Science, or equivalent experience.
- Certification in data architecture or related domains (e.g., CDMP, TOGAF).
- 7+ years of experience in data architecture.
- Strong background in data modeling (e.g., relational, dimensional, NoSQL).
- Experience in database management, data processing, end-to-end data lifecycle, and data integration.
- System Integrator experience preferred.
- Proficiency in data warehousing concepts and technologies.
- Proficiency with database management systems such as SQL, NoSQL.
- Proficiency with ETL tools.
- Proficiency with cloud-based platforms (e.g., AWS, Azure).
- Proficiency with PowerBI.
- Experience with data governance and security.
- Understanding of data privacy regulations.
- Knowledge of metadata management and data quality frameworks.
- Experience working with big data technologies and data lake environments, including Hadoop, Spark, and other distributed systems.
- Experience with data integration tools.
- Experience with data governance and data quality management.
- Knowledge and understanding of complex technology ecosystems (applications, middleware, data, infrastructure, network, web, etc.).
- Knowledge of business process modeling, information resource management, business analysis, design, and process re-engineering.
- Excellent problem-solving skills to identify and resolve issues related to data storage, access, and performance.
- Proficiency in maintaining currency in the latest data management technologies, compliance requirements, and best practices.
- Excellent written and oral communication and presentation skills to present complex and highly technical issues, IT strategies and solutions to non-technical audiences.
- Excellent communication and relationship management skills to work with business stakeholders, data engineers, and IT professionals.
- Outstanding attention to detail and the ability to discover small errors in complex code.
Skills
- Data Architecture
- Data Modeling
- Database Management
- Data Processing
- Data Integration
- Data Warehousing
- SQL
- NoSQL
- ETL Tools
- AWS
- Azure
- PowerBI
- Data Governance
- Data Security
- Metadata Management
- Data Quality Management
- Big Data Technologies
- Hadoop
- Spark
- Business Process Modeling
- Information Resource Management
- Business Analysis
- Process Re-engineering
- Problem Solving
- Communication
- Presentation Skills
- Relationship Management
Location
- Ontario
Work Type
- Regular
- Full-time
Experience Level
- 7+ years of experience in data architecture
Education Level
- Bachelor’s degree in computer science, Information Technology, Data Science, or equivalent experience
- Certification in data architecture or related domains (e.g., CDMP, TOGAF)
Salary/Compensations
- $86,379.00 - $127,288.00
Benefits
- Employer-matched defined benefit pension plan
- Comprehensive and competitive benefits plan
- Prioritizes learning and development
- Prioritizes wellbeing
- Prioritizes diversity, equity, inclusion and belonging
- Prioritizes community giving
About the Company
- FSRA's vision is to ensure financial safety, fairness, and choice for Ontarians.
- As a financial services regulator, FSRA is passionate about protecting consumers.
- FSRA's principles-based approach allows for quick and effective response to the changing needs of consumers and the industry.
- The team combines industry expertise with a commitment to public service.
- FSRA attracts individuals interested in meaningful work who measure success through outcomes.
- FSRA invests in the personal and professional growth of its team.
Equal Opportunity
- FSRA is committed to ensuring equity in employment.
- The goal is to create a diverse, inclusive workforce that reflects the communities served.
- Ensures services and communications are accessible to all individuals.
- Accommodation is available under the Ontario Human Rights Code.