Title: Data Architect/ Data Modeler
Duration: 12+ Months + Extensions
Interview Process: 1 - Virtual and 1- In person
Location: Toronto, ON- Hybrid
Compensation: $65-$70/hour
Must Have:
- Data modeling: Developing conceptual, logical, and physical models for enterprise analytical platforms.
- API source analysis: Interpreting REST API specifications and profiling semi-structured JSON data to establish source semantics, extraction limitations, and source-to-target mappings.
- Azure Lakehouse modeling: Designing Azure Databricks and Delta Lake models with sound entity keys, relationships, historical tracking, and schema evolution.
- Data exploration and validation: Using SQL and Python or PySpark to explore data and validate design assumptions.
- Data products: Translating business needs into reusable data products and practical data contracts aligned with data mesh principles.
- Data governance: Defining data quality, metadata, lineage, and sensitive-data handling requirements.
- Collaboration: Working with domain experts and engineering teams to deliver implementable designs.
Nice to have:
- Cybersecurity data domain experience and familiarity with Unity Catalog and the Open Cybersecurity Schema Framework (OCSF).
We may use AI-enabled and/or automated tools to support parts of our recruitment process, including application screening, interview scheduling, and candidate communications. These tools are used to enhance consistency and efficiency. All hiring decisions involve human review and are not based solely on automated processing.
The Company offers a total rewards package in accordance with all applicable federal, provincial, and local laws and requirements. Benefit eligibility and offerings vary based on role, employment status, and work location. For contractor positions, benefits are limited to those entitlements and protections required by applicable law, which may include (as applicable) vacation pay, public holidays, leaves of absence, and other legally mandated benefits or payments.
