Data Architect

This is a fully remote position, open to applicants in Canada.

📋 Description

• Create the enterprise data architecture, encompassing conceptual, logical, and physical architecture, data platforms, canonical data models, and governing standards.

• Develop and present the data architecture, roadmap, and key design choices to senior leadership.

• Define standards for data integration and interoperability, including contract-first patterns, interfaces, schema contracts, and secure data-sharing protocols.

• Design governed, reusable data products, master data architectures, consolidated master records, and analytical models.

• Establish standards for data quality, master data management, retention, and remediation.

• Set guidelines for the use of AI and machine learning data, ensuring platform portability.

• Define data security measures, classification, protection, and access-control standards for sensitive information.

• Produce and maintain data models, reference architectures, data-flow diagrams, architecture decision records, and standards documentation.

• Oversee solution and vendor designs throughout delivery, ensuring alignment, guiding implementation, and adjusting architecture as necessary.

⛳️ Requirements

• Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field, or equivalent professional experience.

• Certification in enterprise architecture or cloud data platforms, such as TOGAF or a recognized cloud data credential (Preferred).

• At least ten years of experience in data management disciplines, including data modeling, data engineering, or data science.

• A minimum of five years in data architecture, encompassing lakehouse or warehouse-native patterns and batch and streaming data flows in Snowflake and other cloud data platforms.

• Responsibility for an enterprise data architecture, establishing standards adopted by delivery teams and vendors, and presenting architecture direction to senior leadership.

• Experience in delivering master data and golden record solutions, governed reusable data products, and warehouse-native customer data platforms.

• Proven experience in setting data design direction for solution architects and delivery partners.

• Experience in designing data protection, classification, and access controls for sensitive data.

• Experience in a nonprofit or mission-driven organization (Preferred).

• Proficiency in defining data and API contracts, schema registries, and contract testing.

• Advanced skills in conceptual, logical, and physical data modeling, as well as relational and dimensional modeling; strong SQL expertise.

• Familiarity with dbt, ELT patterns, and orchestration tools.

• Familiarity with Python or similar scripting languages.

• Understanding of CI/CD and automated data testing, including contract and schema testing.

• Knowledge of data mesh, data fabric, and lakehouse paradigms.

• Familiarity with data catalog and metadata management tools.

• Proficiency in ArchiMate or UML and architecture modeling tools.

• Experience working within Enterprise Agile frameworks.

• Ability to communicate effectively with both technical and non-technical stakeholders.

• Capacity to foster agreement among technical and business teams.

• Strong judgment in navigating complex and ambiguous design challenges.

• Ability to document design choices, apply standards consistently, and support recommendations with evidence.

🏝️ Benefits

• Health Spending Account.

• Up to 6% matched pension contributions.

• Parental leave top-up.

• Generous paid vacation, sick days, wellness, and personal days.

• Office closure on additional days before long weekends (6 times a year).

• Recognition as a top employer in Canada and the Greater Toronto Area.

• An agile mindset workplace.