Make an impact with Visier as a Lead Data Developer focusing on Workforce Intelligence! This hybrid position allows you to shape our data architecture and pipelines crucial for AI applications. As a Lead Data Developer at Visier, you will possess extensive experience in data engineering and take charge of the complete data layer development.

Your role requires building and maintaining high-throughput ingestion pipelines and implementing robust data transformation processes. Collaborating with various departments, you will ensure that data can be seamlessly integrated and effectively utilized to enhance organizational insights. Key Responsibilities:
Architect and evolve data strategies across various storage solutions
Develop unified data ingestion and continuous warehouse design




Own the data layer for RAG knowledge integration
Build transformation jobs for enhancing data accuracy
Embed engineering best practices into data workflows Requirements:
5+ years of experience in the data engineering domain
Expertise with contemporary data stacks like Snowflake and Databricks
Proven capabilities in vector data technologies
Solid programming skills in Python and CI/CD practices
Understanding of AI security for data integrity Bring your insights and technical expertise to Visier as we innovate in the realm of workforce intelligence.

📌 Lead Data Developer For Workforce Intelligence Vancouver (Canada)
🏢 Socket.dev
📍 Canada