Posted 6 days ago
Sr Data Architect (AWS & Databricks)
@ Ccube
Mississauga, Ontario
SIGNALS
Overview
Ccube is hiring a Senior Data Architect with strong Databricks experience for a hybrid full-time role in Mississauga, ON. The role designs enterprise cloud data platforms on AWS and/or Azure, including lakehouses, Medallion architecture pipelines, and governance frameworks, and mentors data engineering teams. Requires 8–10 years in data architecture or engineering.
Responsibilities:
- Design enterprise cloud data architecture, lakes, warehouses and lakehouses
- Develop HLDs and architecture blueprints for data platforms
- Design Medallion Architecture (Bronze, Silver, Gold layers)
- Lead ETL/ELT, batch and real-time data architecture
- Mentor Data Engineering teams
Requirements summary:
- 8–10 years in Data Architecture or Data Engineering
- Strong AWS and/or Azure experience
- Strong SQL and Python
- Experience with Spark, Databricks, Kafka, Airflow or dbt
- Knowledge of data governance, security, CI/CD and DevOps
Tools & skills
Source and dates
Source type not verified · apify-linkedin
- Employer posting date
- 2026-11-04
- First seen by our source
- 2026-11-10
- Source record updated
- 2026-11-10
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Senior |
| Department | IT |
| Experience | 8+ years |
| Hours per week | 40 (estimated) |
| Travel | ground: none |
| Work setting | Office |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
Summary and details written by AI from the posting; the employer’s posting is the authority.
Ccube
| Field | Value |
|---|---|
| Open jobs on Jobsy | 1 |
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
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
- 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
- AWS/Azure certifications
- Databricks Certification
- Snowflake experience
- Data Mesh concepts
- MLOps / AI data platform experience
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