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Accountabilities:
- Design end-to-end enterprise data architecture covering ingestion, storage, transformation, orchestration, semantic layers, data serving, consumption, and governance.
- Manage and optimize hybrid database environments, including cloud data platforms and specialized data solutions.
- Establish data architecture standards, governance frameworks, and technical best practices.
Requirements:
- 7+ years of experience in data engineering, data architecture, or related technical roles.
- Strong expertise with cloud lakehouse technologies such as BigQuery, Snowflake, Cosmos DB, or Kinetica.
- Experience building and managing vector databases and knowledge graph models.
Benefits:
- Opportunity to work on cutting-edge AI, machine learning, cloud, and data engineering projects.
- Fully remote work environment for Canada-based employees.
- Continuous learning and professional development opportunities.
Culture:
- Collaborative and inclusive culture focused on innovation, growth, and knowledge sharing.
- Exposure to innovative technologies and advanced AI solutions.
- Chance to contribute to impactful projects for leading organizations.
Unknown
The partner company specializes in designing and building advanced data platforms for AI-driven applications. They foster a collaborative and inclusive culture with a focus on continuous learning and professional development.