Data Architect

Responsibilities:

• Architect and evolve our data platform using Snowflake as the central data warehouse and dbt for transformation logic.
• Design and implement batch and streaming pipelines, ensuring scalability and cost-efficiency in AWS.
• Establish best practices for data modeling, warehouse schema design, and semantic layer standardization using dbt.

Qualifications:

• 8+ years in data architecture with deep experience owning a modern data platform end to end: pipelines, storage, modelling, governance, monitoring.
• Expertise in data modeling (3NF, star/snowflake schemas), ELT/ETL design, and performance tuning.
• Solid understanding of AWS services (S3, Glue, Lambda, Redshift, Kinesis, etc.) and strong programming in SQL and Python.

About the Company:

• We are a team of ambitious and passionate people who have turned technology development and client service into an art.
• With locations in Toronto, New York City, Durham, London, Edinburgh, and Timisoara, we collaborate globally for a unique perspective on the impact of technology in our industry.