About The Position

Ccube is seeking a Senior Data Architect with strong Databricks experience to join its data and cloud team. Based in Mississauga, Ontario, the role is described as remote/hybrid and full-time. The architect will design and lead scalable, secure, high-performance cloud data platforms across AWS and/or Azure, combining strategic architecture expertise with hands-on engineering. The work focuses on turning complex data into business insights while ensuring security, scalability, governance, and cost optimization.

Requirements

  • 8–10 years of experience in Data Architecture or Data Engineering.
  • Strong experience with AWS and/or Azure.
  • Expertise in Medallion Architecture, data lakes/lakehouses, and data warehousing.
  • Strong experience creating HLDs, architecture diagrams, and technical design documents.
  • Strong SQL skills 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, and DevOps.
  • Excellent architecture, communication, and stakeholder management skills.

Nice To Haves

  • AWS or Azure certifications.
  • Databricks certification.
  • Snowflake experience.
  • Knowledge of Data Mesh concepts.
  • MLOps or AI data platform experience.

Responsibilities

  • Design enterprise-scale cloud data architectures, including data lakes, warehouses, and lakehouses.
  • Develop high-level designs (HLDs) and architecture blueprints for data platforms.
  • Design and implement Medallion Architecture, including Bronze, Silver, and Gold layers.
  • Define data models, integration patterns, governance, and security frameworks.
  • Lead ETL/ELT, batch, and real-time data architecture.
  • Drive cloud data modernization, performance optimization, and cost optimization.
  • Provide technical leadership and mentor data engineering teams.
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