Senior ML Platform Engineer: Data Pipelines

hireVouch; Canada; Remote; CAD 140,000 - 190,000; Full time

Job summary

hireVouch is seeking a Senior Data Engineer, ML Platform to own the data infrastructure for training, inference and monitoring. You will shape the lake architecture, build end-to-end ML pipelines and own both offline and online feature stores, ensuring data quality and lineage from day one.

You will collaborate with ML Engineers, push for robust MLOps practices, and drive architecture decisions. Expect a software-focused data role with production-scale systems and strong emphasis on reliability.

Qualifications

• 5+ years of software development, 3+ focused on data engineering for ML teams.
• Built ML training pipelines and lakehouse architectures, not just analytics pipelines.
• Production-grade Python and SQL that other engineers can maintain.
• Strong Spark, including optimization at terabyte scale (partitioning, broadcast joins, predicate pushdown).
• Snowflake, Databricks, Delta Lake or equivalent.
• Feature store experience (offline vs online, freshness, training-serving skew).
• MLOps basics: lineage, versioning, quality monitoring, leakage prevention.
• Kafka or another event-driven source in an ingestion pipeline.
• Airflow or equivalent set up from scratch at production scale.
• CI/CD, monitoring and alerting as standard practice.

Responsibilities

• Own the data infrastructure for model training, inference and monitoring.
• Data lake architecture: lay out bronze/silver/gold structure for ML use.
• ML training pipelines: extract, transform and feed data for training.
• Feature stores: build offline and online stores and know their trade-offs.
• Observability and data quality: monitoring, alerting, validation and lineage.
• Kafka integration: work with Java teams to consume events into pipelines.
• Quality frameworks: automated checks and schema validation for ML data.
• Engineering design: lead architecture decisions and document trade-offs; a software role as well as a data role.

Skills

Software development

ML data engineering

Python

SQL

Spark

MLOps basics

CI/CD

Monitoring

Data quality

Data lineage

Tools

Kafka

Airflow

Snowflake

Databricks

Delta Lake

Feast

Tecton

Job description

hireVouch is seeking a Senior Data Engineer, ML Platform to own the data infrastructure for training, inference and monitoring. You will shape the lake architecture, build end-to-end ML pipelines and own both offline and online feature stores, ensuring data quality and lineage from day one.

You will collaborate with ML Engineers, push for robust MLOps practices, and drive architecture decisions. Expect a software-focused data role with production-scale systems and strong emphasis on reliability.