At a Glance
- Tasks: Design innovative data models and conversational AI architectures for a modern data platform.
- Company: Join a forward-thinking company leading in data and AI solutions.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and career advancement.
- Why this job: Make an impact by shaping the future of data and AI technologies.
- Qualifications: 8+ years in solution architecture with strong skills in Databricks, SQL, and Python.
The predicted salary is between 123750 - 151250 $ per year.
Location: Canada
About The Role
We are seeking experienced Data & AI Solution Architects to support the design of enterprise data models and conversational AI architecture for a modern data platform. Working within the Enterprise Architecture team, you will design enterprise data modelling and conversational AI architectures that enable trusted data and AI analytics across the organization. The primary focus will be on reusable data modelling standards, solution architecture patterns, semantic engineering frameworks, and conversational AI capabilities using Databricks.
You will guide delivery teams in adopting enterprise architecture standards and best practices to deliver trusted, governed, and scalable data products. You will also translate enterprise architecture standards into solution designs, reusable patterns, and technical guidance for HUB & SPOKE teams.
What You'll Do
- Design solution architectures for modern data and AI platforms on Databricks.
- Define and promote enterprise standards for data products, data modelling, Medallion Architecture, dbt, Unity Catalog, and data engineering.
- Create reusable architecture patterns, reference designs, and implementation guidance for HUB & SPOKE teams.
- Design semantic models and architecture patterns that enable trusted analytics and conversational AI capabilities.
- Support the development of scalable, governed, and reusable data products aligned with enterprise standards.
- Lead architecture reviews, solution design workshops, office hours, and technical coaching sessions.
- Partner with data engineering, analytics, AI, and enterprise architecture teams to define scalable solutions.
- Establish data modelling and semantic engineering frameworks to support self-service analytics.
- Provide technical guidance on modern data platform architecture, governance, and best practices.
- Support teams in adopting Databricks-based solutions and enterprise architecture standards.
Qualifications
- 8+ years of experience in enterprise solution architecture or modern cloud data platforms.
- Strong hands-on experience with Databricks, dbt, Unity Catalog, SQL, and Python.
- Deep understanding of dimensional modelling, semantic modelling, Medallion Architecture, and data product design.
- Experience designing enterprise data architectures and reusable solution patterns.
- Strong knowledge of modern data engineering and analytics architectures.
- Experience designing trusted, governed, scalable, and self-service data platforms.
- Knowledge of semantic layers and architectures supporting conversational AI and AI-driven analytics.
- Ability to translate business and enterprise architecture requirements into practical technical designs.
- Experience leading architecture reviews, design workshops, and technical discussions.
- Strong communication and stakeholder management skills with the ability to guide cross-functional delivery teams.
- Ability to work independently and provide technical leadership across multiple teams and initiatives.
Data & AI Solution Architect in Toronto employer: Princeton IT Services, Inc
As a Lead Data Engineer / Data Platform Lead in Toronto, you'll join a dynamic team that values innovation and collaboration, fostering a culture where your technical leadership can shine. The company offers competitive benefits, opportunities for professional growth, and a commitment to work-life balance, making it an ideal environment for those looking to make a meaningful impact in the data engineering field. With a focus on cutting-edge technologies like GenAI and a supportive atmosphere, this role is perfect for individuals eager to drive data solutions that align with business outcomes.
Contact Details:
Princeton IT Services, Inc Recruitment Team
