Ccube

Senior Data Architect (AWS/Azure)

Mississauga, ON, Ontario · Posted today

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Salary
Not listed
Job type
Full-time
Work mode
Not specified
Source
Jazzhr (employer's hiring system)

Skills mentioned

AWS, Azure, Databricks, Data Engineering, Python, SQL, Snowflake, Spark

About the role

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

Job ID jz-ccube-20260929185152_m7kykq1xnesoajdq · Original posting ↗