Sr Data Architect (AWS & Databricks)

Ccube; Mississauga; Hybrid; CAD 120,000 - 170,000; Full time

Job summary

Ccube in Mississauga, ON is seeking a Senior Data Architect with strong Databricks expertise to design scalable cloud data platforms across AWS and Azure. Hybrid work arrangement in Mississauga, ON combines architectural leadership with hands-on engineering to turn complex data into actionable business insights while ensuring security, governance and cost efficiency.

You will lead the design of enterprise-scale data architectures, develop high-level designs, and mentor data engineering teams to

Qualifications

• 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.

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.

Skills

Data architecture

Cloud platforms (AWS/Azure)

Medallion architecture

HLDs & architecture diagrams

SQL & Python

Spark/Databricks/Kafka/Airflow

Data governance & security

Stakeholder management

DevOps / CI/CD

Tools

Databricks

Spark

Airflow

dbt

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