ShyftLabs is looking for a Data Architect to lead the design and evolution of a Customer Data Mart that powers CDP, analytics, marketing activation, and reporting use cases.
Requirements
- Own the technical vision and architecture for the Unified Customer Data Mart, ensuring solutions are scalable, secure, compliant, and aligned with enterprise standards.
- Design and implement end-to-end data architectures of data pipelines, including raw data ingestion (Bronze), data cleaning and standardization (Silver), and curated data marts (Gold) that serve CDP, reporting, and activation use cases.
- Decomposing complex business requirements into structured technical solutions and driving alignment with client stakeholders.
- Formulate, compare, and present multiple architectural approaches for data ingestion, transformation, identity resolution, and consumption patterns, guiding clients and internal teams toward optimal long-term solutions that balance speed, maintainability, and scalability.
- Architect and build production-grade data pipelines using DBT and Airflow that support customer analytics, segmentation and reporting at scale.
- Partner directly with client stakeholders to understand business objectives, translate customer journey requirements into robust technical designs, and act as a trusted technical advisor on data architecture decisions.
- Lead and mentor cross-functional teams, including Analytics Engineers, Data Engineers, and BI developers, setting a high bar for technical quality, code review standards, and documentation practices.
- Influence and contribute to data governance initiatives, including PII handling, data quality frameworks, identity resolution strategies, and platform reliability.
- Drive the development of reusable frameworks and accelerators for customer data pipelines, including DBT macros, Airflow DAG patterns, and data quality tests that can be applied across multiple sources and brands.
- Contribute to technical strategy and roadmap planning for the building data mart, including source prioritization, and integration with downstream systems (CDP, ESP, reporting tools).
Benefits
- Hybrid Flexibility: 3 days per week in our downtown Toronto office.
- Comprehensive Benefits: 100% coverage for health, dental, and vision insurance for you and your dependents from day one.
- Real Impact: Build AI systems used by Fortune 500 companies.
- Growth & Learning: Continuous learning opportunities and influence over technical direction.
- Ownership: Shape applied research and AI strategy in a fast-growing, product-focused data company.
