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Sr AWS Data Architect (Databricks)

Ccube · Toronto, ON, ON · Remote

About Ccube

2 open jobs
100100

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Still listed on the employer's own board · publishes a salary range · How we score

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  • Still listed on the employer's own board
  • Publishes a salary range

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Sr AWS Data Architect (Databricks) at Ccube. We’ll keep it in your applied jobs, so you can see it later and be warned before applying to the same employer twice.

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

Skills

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