- Visier is building the centralized data and control plane—the infrastructure, pipelines, and governance layer—that powers our internal AI transformation across project delivery, customer success, and internal knowledge. As the Data Developer on this initiative, you will own the technical direction of the entire data layer from the ground up. You will design, build, and scale high-throughput ingestion pipelines, continuous warehouse schemas, and the vector-based context engines that allow AI agents to reliably query and act on live organizational data
- In this role, you will leverage your deep data engineering expertise across relational, columnar, and vector data stores to architect secure, production-grade DataOps platforms. You will apply advanced pipeline patterns, open table formats, and AI-native data capabilities to transform fragmented enterprise data into trusted context for enterprise AI systems
- Architectural Ownership: Define and evolve the foundational data architecture across relational, columnar, document, and vector stores,



setting technical standards for storage, schema design, and data flows
- Unified Data Ingestion & Warehouse Design: Build scalable pipelines and star schemas to consolidate multi-system enterprise data (Salesforce, Gong, ServiceNow, Gainsight) across project delivery, knowledge assets, and customer intelligence domains
- RAG Context Engine: Own the data layer for the RAG-based knowledge base engine by designing embedding pipelines, chunking strategies, metadata schemas, and index update mechanisms to ensure reliable, context-rich retrieval for AI agents
- Data Transformation & Entity Resolution: Build robust transformation and aggregation jobs that clean, deduplicate, and resolve entities across disparate source systems to ensure downstream consumption is highly accurate
- DataOps & Pipeline Reliability: Embed software engineering discipline into data workflows by implementing auto

📌 Senior Data Developer (Vancouver)
🏢 Visier
📍 Vancouver