Data Platform Engineer: Reliable Pipelines & Analytics

Chair.com.pk; Toronto; Hybrid; CAD 90,000 - 130,000; Full time

Job summary

Quix is seeking a Data Platform Engineer to design and maintain the data infrastructure underpinning analytics, AI workflows, and operational reporting. This role emphasizes reliability, governance, and clear data contracts for enterprise environments.

You will design ingestion pipelines, implement transformation layers with dbt/SQL/Python, and manage warehouse architectures across Snowflake, BigQuery, Databricks, and Synapse. Collaboration with ML/analytics teams is essential.

Qualifications

• Strong production experience building and operating data pipelines and transformation layers.
• Proficiency with SQL and at least one data orchestration framework: Airflow, dbt, Prefect, Dagster, or equivalent.
• Deep experience with at least one cloud data warehouse or lake platform: Snowflake, BigQuery, Databricks, or Synapse.
• Understanding of data modeling patterns: dimensional modeling, data vault, or equivalent.
• Experience with data quality frameworks and systematic testing of data pipelines.
• Ability to document data models, pipeline logic, and data contracts clearly for technical and analytical audiences.

Responsibilities

• Design and build data ingestion pipelines from diverse enterprise sources: databases, APIs, event streams, and file systems.
• Develop transformation layers using dbt, SQL, or Python that produce clean, well-documented analytical models.
• Manage data warehouse and lake architectures: Snowflake, BigQuery, Databricks, or Azure Synapse.
• Implement data quality checks, schema validation, and data contract enforcement at pipeline boundaries.
• Establish data catalog practices, lineage documentation, and metadata management.
• Collaborate with ML engineers and analytics teams to ensure data products meet downstream requirements.
• Monitor pipeline reliability, freshness, and performance, and resolve incidents systematically.

Skills

Data pipelines

Data transformation

SQL

Data quality

Data governance

Data modeling

Documentation

Tools

Airflow

dbt

Prefect

Dagster

Snowflake

BigQuery

Databricks

Azure Synapse

Job description

Quix is seeking a Data Platform Engineer to design and maintain the data infrastructure underpinning analytics, AI workflows, and operational reporting. This role emphasizes reliability, governance, and clear data contracts for enterprise environments.

You will design ingestion pipelines, implement transformation layers with dbt/SQL/Python, and manage warehouse architectures across Snowflake, BigQuery, Databricks, and Synapse. Collaboration with ML/analytics teams is essential.