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Added 30 mins ago
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Ccube

Sr Data Architect (AWS/Azure Strong Databricks)

Remote, Canada

Remote

$150,000 to $180,000 CAD / year · Full-time

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Job details

Pay: $150,000 to $180,000 CAD / year
Job type: Full-time
Workplace: Remote
Apply by: Jan 12, 2027
Experience: 8–10 years of experience in Data Architecture / Data Engineering
Posting language: English
Posted: Oct 14, 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 (Remote/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/Azure)
Location: Mississauga, ON (Remote-Hybrid)
Full-Time only

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 enterprise-scale cloud data architectures, including data lakes, warehouses, and lakehouses, and create architecture blueprints and Medallion Architecture layers. Lead data integration and pipeline architecture, modernization, security, governance, performance, and cost optimization while mentoring data engineering teams.

Requirements

Requires 8–10 years of data architecture or engineering experience, strong AWS and/or Azure and Databricks expertise, and experience designing cloud data platforms and high-level architecture documents. Candidates should have strong SQL, Python or an equivalent language, experience with Spark and related data technologies, and knowledge of governance, security, CI/CD, and DevOps.

Skills

Data Architecture
AWS
Azure
Databricks
Medallion Architecture
Data Lakes
Lakehouses
Data Warehousing
High-Level Design
SQL
Python
Spark
Kafka
Airflow
dbt
Data Governance

Visa sponsorship

Not detected in the job text

Keywords

Data Architecture
Data Engineering
AWS
Azure
Databricks
Cloud Data Platforms
Data Lakes
Data Warehouses
Lakehouses
Medallion Architecture
High-Level Design
Architecture Blueprints
Data Modeling
Data Integration
ETL
ELT
Batch Processing
Real-Time Data
SQL
Python
Spark
Kafka
Airflow
dbt
Data Governance
Data Security
CI/CD
DevOps
Snowflake
Data Mesh

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