Designs enterprise-scale cloud data architectures, lakes, warehouses, and lakehouses across AWS and Azure. Develops high-level designs, medallion architectures, data models, integration patterns, governance and security frameworks. Leads batch and real-time ETL/ELT architecture, cloud modernization, performance and cost optimization, while providing technical leadership and mentoring data engineering teams.
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.
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
Similar Jobs
Blockchain • eCommerce • Fintech • Payments • Software • Financial Services • Cryptocurrency
Own end-to-end analytics engineering for AI and developer experience data. Instrument telemetry, build governed production pipelines, define trusted metrics, and create executive-facing dashboards and analyses. Partner with data engineering, AI, and data science teams to improve data quality and connect raw signals to decision-making. Present clear recommendations on AI investment, developer productivity, and ROI while using AI coding agents to build and maintain pipelines, dashboards, and analyses.
Top Skills:
Ai Coding AgentsCi/CdGitLlm-Based Classification ToolingMetrics StorePythonReactSnowflakeSQLTypescript
45 Minutes Ago
Blockchain • eCommerce • Fintech • Payments • Software • Financial Services • Cryptocurrency
Graduate research interns will own end-to-end projects to build customer world models and proactive intelligence: developing representation learning, foundation model, RL/agentic methods, evaluation frameworks, and shipping research into production to improve customer decision-making.
Top Skills:
Deep LearningFoundation ModelsJaxOptimizationPythonPyTorchRepresentation Learning
Blockchain • eCommerce • Fintech • Payments • Software • Financial Services • Cryptocurrency
Build and deploy agentic and generative AI systems that automate risk and compliance investigations. Own full-stack ML systems, including data integrations, prompt tuning, orchestration, evaluation, productionization, monitoring, and transformer-based modeling across transaction, graph, text, and profile data. Collaborate with product, engineering, platform, and operations teams while leading strategic roadmaps and delivering scalable production systems.
Top Skills:
Agentic AiAmazon Web Services (Aws)Apache AirflowGenerative AiGoogle Cloud Platform (Gcp)Large Language Models (Llms)Natural Language Processing (Nlp)PythonPyTorchSnowflakeTransformer Models
What you need to know about the Toronto Tech Scene
Although home to some of the biggest names in tech, including Google, Microsoft and Amazon, Toronto has established itself as one of the largest startup ecosystems in the world. And with over 2,000 startups — more than 30 percent of the country's total startups — Toronto continues to attract new businesses. Be it helping entrepreneurs manage their finances, simplifying business operations by automating payroll or assisting pharmaceutical companies in launching new drugs, the city's tech scene is just getting started.
