Job Description & How to Apply Below
Location:
Toronto, ON
Work Model: Hybrid
Job Type: Full Time
Experience:
6–8 Years
Primary Skills
Job Description
We are seeking an experienced Data Architect - Technical Architect with 6–8 years of experience in designing and implementing scalable, secure, and efficient enterprise data architectures. The ideal candidate will have strong expertise across ETL, Azure, Azure Data Factory (ADF), Databricks, Big Data, and AWS .
The role will focus on architecting modern data platforms, data warehouses, data lakes, and cloud-based data solutions aligned with business requirements and enterprise technology strategies.
Key Responsibilities
Design and implement scalable, secure, and efficient enterprise data architectures aligned with business requirements.
Develop conceptual, logical, and physical data models to support operational and analytical systems.
Architect and implement modern data warehouses, data lakes, and cloud-based data platforms .
Define data integration strategies covering ETL/ELT pipelines, batch processing, and real-time data processing .
Design data solutions using Azure, Azure Data Factory (ADF), Databricks, Big Data technologies, and AWS .
Evaluate and recommend appropriate data technologies, platforms, and architectural solutions based on business and technical requirements.
Establish data architecture standards, patterns, and best practices.
Collaborate with business, data engineering, development, and infrastructure teams to translate requirements into scalable data solutions.
Ensure data architectures meet requirements for security, scalability, performance, reliability, and maintainability .
Provide technical leadership and architectural guidance throughout data platform implementation.
Required Skills & Experience
6–8 years of overall experience in data architecture, data engineering, or technical architecture.
Minimum 4–5 years of hands‑on experience with:
ETL
Azure
Azure Data Factory (ADF)
Databricks
Big Data technologies
AWS
Experience developing conceptual, logical, and physical data models .
Strong understanding of data warehouse and data lake architectures .
Hands‑on experience defining ETL/ELT, batch, and real‑time data integration strategies .
Strong knowledge of cloud‑based data platforms and modern data architecture patterns.
Ability to evaluate data technologies and recommend solutions based on business requirements.
Strong analytical, problem‑solving, communication, and stakeholder management skills.
Preferred Skills
Experience with modern cloud data architecture and distributed data processing.
Knowledge of data governance, security, and data quality practices.
Experience working in enterprise‑scale data transformation initiatives.
Required Skills
Data Analyst
To View & Apply for jobs on this site that accept applications from your location or country, tap the button below to make a Search.
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
Search for further Jobs Here:
×