Sr Data Architect (AWS & Databricks)
- Mississauga, ON, Canada
$90 to $110 CAD / hour · Full-time
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Job details
- Pay
- $90 to $110 CAD / hour
- Job type
- Full-time
- Apply by
- Experience
- 8–10 years of experience in Data Architecture / Data Engineering
- Posting language
- English
- Posted
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
More about this job
Responsibilities
Design and lead enterprise-scale cloud data architectures, including data lakes, warehouses, and lakehouses. Develop high-level designs, implement Medallion architecture, and provide technical leadership to data engineering teams.
Requirements
Requires 8–10 years of experience in data architecture or engineering with strong proficiency in AWS, Azure, and Databricks. Candidates must possess expertise in data modeling, SQL, Python, and modern data integration patterns.
Skills
- Data Architecture
- Databricks
- AWS
- Azure
- Medallion Architecture
- Data Lakes
- Data Warehousing
- SQL
- Python
- Spark
- Kafka
- Airflow
- dbt
- Data Governance
- CI/CD
- DevOps
Visa sponsorship
Not detected in the job text
Categories
- Data & Analytics
- Technology
- Software
- Engineering
- Consulting
Keywords
- Data Architecture
- AWS
- Databricks
- Azure
- Medallion Architecture
- Data Lakes
- Data Warehousing
- Lakehouse
- SQL
- Python
- Spark
- Kafka
- Airflow
- dbt
- Data Governance
- CI/CD
- DevOps
- Cloud-native
- ETL
- ELT
- Data Modeling
- Data Mesh
- MLOps
- AI
- Snowflake