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Senior Data Architect

@ Ccube

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Mississauga, Ontario

Contrat
Postuler
SIGNAUX

Responsabilités :

  • 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

Résumé des exigences :

  • Must-Have Skills
  • 8–10 years of experience in Data Architecture / Data Engineering
  • Strong experience with AWS and/or Azure
  • 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
Source et dates

Type de source non vérifié · apify-linkedin

Date publiée par l’employeur
Non fourni
Première détection par notre source
2026-11-14
Mise à jour du dossier source
2026-11-14

Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.

Postuler
ChampValeur
Offres sur Jobsy2
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 Preferred)

Location: Mississauga, ON (Remote-Hybrid)

Contract To Hire

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

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