At a Glance
- Tasks: Design and implement scalable cloud data architectures using AWS/Azure and Databricks.
- Company: Join Ccube, a passionate team focused on data innovation.
- Benefits: Remote/hybrid work options, competitive salary, and opportunities for professional growth.
- Other info: Dynamic environment with mentorship opportunities and career advancement.
- Why this job: Make a real impact by transforming complex data into actionable insights.
- Qualifications: 8-10 years in Data Architecture with strong AWS/Azure and Databricks skills.
The predicted salary is between 123750 - 151250 $ per year.
Passionate about Data? Ccube wants you on the team! We are looking for a highly skilled Senior Data Architect with strong Databricks experience 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.
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
Sr AWS Data Architect in Toronto employer: Ccube
Ccube is an exceptional employer that fosters a collaborative and innovative work culture, making it an ideal place for a Senior AWS Data Architect to thrive. Located in Mississauga, ON, our hybrid work model allows for flexibility while providing ample opportunities for professional growth and mentorship within a dynamic team. With a focus on cutting-edge technology and employee development, Ccube empowers its employees to transform data into impactful business insights, ensuring a rewarding and meaningful career path.
