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 .

Robust 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

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