Job Title: MongoDB Data Modeler / Data Engineer

Location: Toronto, Canada

We are seeking an experienced MongoDB Data Modeler / Data Engineer with robust expertise in MongoDB, JSON schema design, PySpark, SQL, and Azure Data Platforms to support enterprise data ingestion, modeling, and analytics initiatives.

Key Responsibilities
Design, develop, and maintain MongoDB data models, JSON schemas, and schema governance frameworks.
Lead schema evolution, versioning, migration, indexing, and performance optimization activities.
Develop scalable ETL/ELT pipelines using PySpark, Spark SQL, and SQL.
Build and support cloud-based data solutions using Azure Databricks, Azure Data Factory (ADF), and Azure Synapse Analytics.
Design and optimize data ingestion, transformation, and orchestration workflows.
Ensure data quality, lineage, scalability, performance, and governance across enterprise data platforms.
Collaborate with business stakeholders, architects, and development teams to gather requirements and deliver data solutions.




Create technical documentation, data models, and implementation standards.

Required Skills
5+ years of experience in MongoDB data modeling and JSON schema design.
Solid hands-on experience with MongoDB, including schema design and performance optimization.
Advanced proficiency in SQL, PySpark, and Spark SQL.
Experience building data ingestion, ETL/ELT, and cloud data pipelines.
2+ years of experience with Azure Cloud, including:
Azure Databricks
Azure Data Factory (ADF)
Azure Synapse Analytics
Robust understanding of data architecture, data governance, and data quality practices.
Excellent analytical, communication, and problem-solving skills.

Preferred Skills
Experience with MongoDB Atlas on Azure.
Knowledge of Kafka, Confluent, and Schema Registry.
Expertise in MongoDB indexing, sharding, and performance tuning.
Experience in Payments domain and ISO 20022 standards.

📌 Mongodb Data Modeler Toronto
🏢 Confiar Services
📍 Toronto