Senior Data Architect (AWS/Azure)

Job summary

Design enterprise-scale cloud data architectures, platforms, data lakes, warehouses, and lakehouses, including architecture blueprints and Medallion Architecture layers. Lead data integration and ETL/ELT architecture, modernization, security, governance, performance and cost optimization, while providing technical leadership and mentoring data engineering teams.

Job details

Passionate about Data ? Ccube wants you on the team!We are looking for a highly skilled "Senior Data Architect" 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) Employment Type: Full-Time We are looking for a Senior Data Architect 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

What you’ll do

Design enterprise-scale cloud data architectures, platforms, data lakes, warehouses, and lakehouses, including architecture blueprints and Medallion Architecture layers. Lead data integration and ETL/ELT architecture, modernization, security, governance, performance 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 expertise, and experience designing cloud data platforms and producing architecture designs. Candidates should have strong SQL and Python or equivalent programming skills, experience with data engineering technologies, and knowledge of governance, security, CI/CD, and DevOps.

Listed skills

• Microsoft Azure · Preferred
• SQL · Preferred
• Amazon Web Services · Preferred
• Python · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

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

Job areas

• Data & Analytics
• Technology
• Software
• Management & Leadership