Shape the future of Workforce Intelligence as a Data Developer at Visier. Drive innovation in AI platforms through data architecture and ingestion pipelines in a hybrid work workplace.

As a Data Developer in this role, you will take charge of the technical direction for Visier's data and control plane. Your mission includes architecting data layers, building high-throughput pipelines, and transforming enterprise data into trusted context for AI systems. You will leverage your expertise in relational, columnar, and vector data stores to implement robust DataOps practices supporting Visier’s leadership in people analytics.

Key Responsibilities:
• Define data architecture standards across multiple data stores
• Build scalable data ingestion pipelines and warehouse schemas
• Create embedding pipelines for RAG-based knowledge retrieval




• Clean and deduplicate data across source systems
• Embed automated testing and continuous integration in workflows

Requirements:
• 5+ years in data engineering with ownership of architecture decisions
• Experience with Snowflake, dbt, and modern ETL frameworks
• Familiarity with vector databases and embedding pipelines
• Proficient in Python and CI/CD practices
• Understanding of AI security and integration frameworks

Bring your deep expertise in data engineering and your commitment to innovation to Visier's mission in transforming workforce decision-making.
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📌 Data Developer for AI at Visier (British Columbia)
🏢 Visie
📍 British Columbia