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Added 7 mins ago
PE
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Ccube

Sr Data Architect (AWS & Databricks)

Mississauga, ON, Canada

$90 to $110 CAD / hour · Full-time

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Job details

Pay: $90 to $110 CAD / hour
Job type: Full-time
Apply by: Feb 3, 2027
Experience: 8–10 years of experience in Data Architecture / Data Engineering
Posting language: English
Posted: Nov 5, 2026

Original job description

Passionate about Data ? Ccube wants you on the team!

We are looking for a highly skilled "Senior Data Architect" With (Strong Databricks) to join our growing data and cloud team in Mississauga, ON (Hybrid). The ideal candidate will design enterprise-scale data architectures, build robust data pipelines, and implement scalable cloud-native data platforms on AWS/Azure.

This role requires a blend of strategic architecture expertise and hands-on engineering capabilities to transform complex data into actionable business insights while ensuring security, scalability, governance, and cost optimization.

Role: Senior Data Architect (AWS Databricks Preferred)
Location: Mississauga, ON (Hybrid)
Contract To Hire/Full Time

We are looking for a Senior Data Architect With (Strong Databricks) to design and lead scalable, secure, and high-performance cloud data platforms across AWS and/or Azure.

Key Responsibilities

Design enterprise-scale cloud data architecture, data lakes, warehouses & lakehouses
Develop HLDs (High-Level Designs) and architecture blueprints for data platforms
Design and implement Medallion Architecture (Bronze, Silver & Gold layers)
Define data models, integration patterns, governance and security frameworks
Lead ETL/ELT, batch & real-time data architecture
Drive cloud data modernization, performance and cost optimization
Provide technical leadership and mentor Data Engineering teams

Must-Have Skills

8–10 years of experience in Data Architecture / Data Engineering
Strong experience with AWS and/or Azure
Expertise in Medallion Architecture, Data Lakes/Lakehouses & Data Warehousing
Strong experience creating HLDs, architecture diagrams and technical design documents
Strong SQL and experience with Python or equivalent programming languages
Experience with Spark, Databricks, Kafka, Airflow/dbt or equivalent technologies
Experience working with structured and unstructured data
Knowledge of Data Governance, Security, CI/CD & DevOps
Excellent architecture, communication and stakeholder management skills

Good to Have

AWS/Azure certifications
Databricks Certification
Snowflake experience
Data Mesh concepts
MLOps / AI data platform experience

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More about this job

Responsibilities

Design and lead enterprise-scale cloud data architectures, including data lakes, warehouses, and lakehouses. Develop high-level designs, implement Medallion architecture, and provide technical leadership to data engineering teams.

Requirements

Requires 8–10 years of experience in data architecture or engineering with strong proficiency in AWS, Azure, and Databricks. Candidates must possess expertise in data modeling, SQL, Python, and modern data integration patterns.

Skills

Data Architecture
Databricks
AWS
Azure
Medallion Architecture
Data Lakes
Data Warehousing
SQL
Python
Spark
Kafka
Airflow
dbt
Data Governance
CI/CD
DevOps

Visa sponsorship

Not detected in the job text

Keywords

Data Architecture
AWS
Databricks
Azure
Medallion Architecture
Data Lakes
Data Warehousing
Lakehouse
SQL
Python
Spark
Kafka
Airflow
dbt
Data Governance
CI/CD
DevOps
Cloud-native
ETL
ELT
Data Modeling
Data Mesh
MLOps
AI
Snowflake

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