Sr AWS Data Architect (Databricks)
- Remote, Canada
Remote
$150,000 to $180,000 CAD / year · Full-time
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Job details
- Pay
- $150,000 to $180,000 CAD / year
- Job type
- Full-time
- Workplace
- Remote
- 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 (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)
Full-Time only
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 architectures, 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, ETL/ELT processes, and technical documentation.
Skills
- AWS
- Azure
- Databricks
- Data Architecture
- 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
Keywords
- AWS
- Azure
- Databricks
- Data Architecture
- Medallion Architecture
- Data Lakes
- Data Warehousing
- SQL
- Python
- Spark
- Kafka
- Airflow
- dbt
- Data Governance
- CI/CD
- DevOps
- Cloud-native
- ETL
- ELT
- Data Modeling
- Data Mesh
- MLOps
- AI
- Snowflake
- Architecture Blueprints