Sr Data Architect (AWS & Databricks)

Mississauga, ON, Canada

Full-time

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Job details

Job type: Full-time
Apply by: May 4, 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 enterprise-scale cloud data architectures, including data lakes, warehouses, and lakehouses, and create high-level designs and architecture blueprints. Lead data pipeline architecture, governance, security, modernization, and cost optimization while providing technical leadership and mentoring data engineering teams.

Requirements

Requires 8–10 years of data architecture or data engineering experience, strong AWS and/or Azure experience, and expertise in Databricks, Medallion Architecture, and cloud data platforms. Candidates should have strong SQL and programming skills, 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

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Keywords

AWS
Azure
Databricks
Medallion Architecture
Data Lakes
Lakehouses
Data Warehousing
High-Level Designs
Architecture Blueprints
Data Modeling
Data Integration
Data Governance
Data Security
ETL
ELT
Batch Processing
Real-Time Data
SQL
Python
Spark
Kafka
Airflow
dbt
CI/CD
DevOps
Snowflake
Data Mesh
MLOps
Cloud Data Modernization
Cost Optimization

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