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Senior Data Developer

Visier · Vancouver, Canada

External listingfull-time3 days ago

About The Role

Join Visier, a leading company in the field of data analytics and AI transformation. As a Senior Data Developer, you will be responsible for the technical direction of the entire data layer, designing, building, and scaling high-throughput ingestion pipelines and continuous warehouse schemas. You will leverage your deep data engineering expertise to architect secure, production-grade DataOps platforms and transform fragmented enterprise data into trusted context for enterprise AI systems.

  • Architect and build high-throughput ingestion pipelines, continuous warehouse schemas, and vector-based context engines for AI systems.
  • Define and evolve the foundational data architecture across various data stores, setting technical standards for storage, schema design, and data flows.
  • Implement automated testing, continuous integration/continuous deployment (CI/CD), schema drift detection, and end-to-end observability to ensure pipeline reliability.
  • Data Modeling & Storage Breadth: Expertise in dimensional modeling (star schema, normalization) alongside hands-on command of relational, NoSQL, and columnar storage, including open table formats like Apache Iceberg
  • Vector Stores & RAG Infrastructure: Production experience with vector databases (e.g., pgvector, Pinecone, Weaviate) and building end-to-end embedding pipelines (chunking strategies, indexing, similarity search)
  • Software Developing Discipline: Proficient in Python and scripting languages, with strong Git and CI/CD habits (Jenkins, GitHub Actions) applied to DataOps practices
  • Education & Experience: 5+ years of professional data engineering experience with a proven track record of independently owning enterprise data architecture decisions end-to-end; a Bachelor's degree in CS, Data Science, or related field is preferred
  • AI Security & Integration Awareness: Practical understanding of how LLM-based agents consume data, alongside knowledge of securing AI-connected data layers against risks like prompt injection and unauthorized data access
  • Modern Data Stack Mastery: Deep hands-on experience with cloud data warehouses (Snowflake, Databricks), modern ETL/ELT frameworks (dbt, Airflow, Airbyte, Fivetran), and advanced SQL optimization techniques
  • You never stop learning
  • You are proud
  • You make it easy
  • You roll up your sleeves
  • You play to win

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