Principal Data Engineer (AI)

Location: Toronto, ON, Canada

Salary: CAD 120,000–176,000 base salary per year, with potential bonuses, commissions for sales roles, stock grants, and benefits.

Company

hirify.global develops software that helps innovators design and make products, buildings, infrastructure, media, and entertainment.

What you will do

• Architect and implement scalable batch and streaming pipelines for large-scale product telemetry.
• Build AI-ready data products supporting analytics, machine learning, LLMs, and agentic workflows.
• Operationalize feature engineering, feature stores, RAG systems, embeddings, vector search, and evaluation pipelines.
• Improve data quality, observability, instrumentation, governance, lineage, and cataloging.
• Enable analysts and product teams with trusted datasets, semantic models, self-service analytics, and AI-assisted exploration.
• Collaborate across Product, Engineering, Data Science, Research, and Design while influencing architecture and technical standards.

Requirements

• 10+ years of experience in data engineering, data platforms, distributed systems, or related technical roles, including ownership of large-scale production systems.
• Strong hands-on experience with Python, Spark, PySpark, advanced SQL, scripting, and reliable ETL/ELT pipelines.
• Experience with LLM ecosystems, embeddings, vector databases, RAG, and agent frameworks or orchestration systems.
• Experience with Kafka, Flink, or Spark Streaming and modern data platforms such as Iceberg, Hive, Snowflake, Redshift, or Athena.
• Hands-on AWS experience, including EMR, Glue, S3, IAM, Lambda, and Step Functions.
• Ability to lead cross-functional technical initiatives, define engineering standards, mentor engineers, and communicate with technical and non-technical stakeholders.

Nice to have

• Experience with product telemetry, clickstream data, behavioral analytics, or experimentation platforms.
• Experience with Airflow, dbt, Fivetran, or similar ingestion, orchestration, and transformation tools.
• Experience supporting LLM, RAG, agentic AI, or internal intelligence workflows in production or enterprise environments.
• Experience modernizing data infrastructure across fragmented systems and evolving requirements.

Culture & Benefits

• Work on software that helps create buildings, vehicles, factories, and films.
• Comprehensive benefits package and potential annual cash bonuses and stock grants.
• In-person onboarding and/or identity verification may be required.
• Culture focused on belonging, meaningful work, and collaboration.