AWS Databricks Data Engineer – AWS / Python / ETL

Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!; Toronto; On-site; CAD 130,000 - 170,000; Full time

Job summary

Astra-North Infoteck Inc. in Toronto is seeking a Senior Data Engineer to design and build scalable data platforms using Databricks and AWS, leading end-to-end data pipelines and analytics assets.

The role requires deep expertise in data modeling, PySpark, SQL, Python, and CI/CD, with a focus on data governance and enterprise integration. You will mentor engineers and drive architecture standards in a fast-paced environment.

Qualifications

• 12+ years of experience in data engineering or large-scale distributed data systems.
• Expert knowledge of AWS data services and Databricks/Spark ecosystem.
• Strong expertise in data modeling (Dimensional, Canonical, Data Vault, Domain-Driven).
• Advanced SQL and Python development skills with ETL/ELT experience.
• Experience with CI/CD, GitHub, DevOps practices, automated testing, and production deployments.
• Proven ability to work independently and lead solutions in ambiguous business environments.

Responsibilities

• Design, develop, and optimize scalable data pipelines using Databricks (PySpark, Delta Lake, Unity Catalog, Lakeflow) and AWS (S3, Glue, Lambda, Step Functions, Redshift).
• Lead data ingestion, transformation, and modeling initiatives for enterprise data platforms.
• Define and implement robust data models supporting analytics, reporting, and AI/ML use cases.
• Gather and translate complex business requirements into scalable technical solutions.
• Establish data quality, monitoring, testing, and operational best practices across data platforms.
• Mentor engineers, drive architecture standards, and lead end-to-end solution delivery.
• Support strategic initiatives including AI readiness, data unification, metadata management, and enterprise integration programs.

Skills

Leadership

Data Modeling

SQL

Python

CI/CD

Independent Work

Education

Bachelor's degree in CS/Engineering or related

Tools

Databricks

AWS

GitHub

Delta Lake

ETL/ELT

Job description

AWS Databricks Data Engineer – AWS / Python / ETL

Job Description We are seeking a highly experienced Senior Data Engineer with strong expertise in Databricks, AWS, modern data architecture, and data modeling to design and build scalable enterprise data platforms. The role will lead the development of data pipelines, analytics assets, and data foundations supporting various enterprise data solutions. This is a senior-level, autonomous role requiring strong technical leadership, consultative problem-solving, and architecture expertise.

Key Responsibilities

• Design, develop, and optimize scalable data pipelines using Databricks (PySpark, Delta Lake, Unity Catalog, Lakeflow) and AWS (S3, Glue, Lambda, Step Functions, Redshift).
• Lead data ingestion, transformation, and modeling initiatives for enterprise data platforms.
• Define and implement robust data models supporting analytics, reporting, and AI/ML use cases.
• Gather and translate complex business requirements into scalable technical solutions.
• Establish data quality, monitoring, testing, and operational best practices across data platforms.
• Mentor engineers, drive architecture standards, and lead end-to-end solution delivery.
• Support strategic initiatives including AI readiness, data unification, metadata management, and enterprise integration programs.

Required Skills & Experience

• 12+ years of experience in Data Engineering, Data Architecture, or large-scale distributed data systems.
• Expert knowledge of AWS Data Services and Databricks/Spark ecosystem.
• Strong expertise in data modeling (Dimensional, Canonical, Data Vault, Domain-Driven).
• Advanced SQL and Python development skills with ETL/ELT experience.
• Experience with CI/CD, GitHub, DevOps practices, automated testing, and production deployments.
• Proven ability to work independently and lead solutions in ambiguous business environments.

Preferred Qualifications

• Experience in Asset Management, Wealth Management, or Financial Services.
• Knowledge of data quality frameworks, metadata management, dbt, semantic layers, or data mesh concepts.
• Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field (or equivalent experience).