Publié il y a 7 jours
Data Architect
@ Kaizen Technologies
Toronto, Ontario
Responsabilités :
- Develop and maintain enterprise data architecture frameworks aligned with business goals.
- Design end-to-end data pipelines and integration strategies using modern cloud technologies.
- Define data modeling standards, metadata management, and governance principles.
- Collaborate with business analysts and data engineers to translate requirements into technical designs.
- Ensure data quality, consistency, and compliance with regulatory standards.
- Optimize data storage, retrieval, and transformation processes for performance and scalability.
Résumé des exigences :
- Years of Experience: 10-15 Years
- Collaborate with business analysts and data engineers to translate requirements into technical designs.
- Bachelor's degree in Computer Science, Information Technology, or a related field.
- Relevant certifications are a plus.
Outils et compétences
Source et dates
Type de source non vérifié · apify-linkedin
- Date publiée par l’employeur
- 2026-11-03
- Première détection par notre source
- 2026-11-10
- Mise à jour du dossier source
- 2026-11-10
Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.
Kaizen Technologies
Job Title : Data Architect
TORONTO, Canada - Hybrid
Years of Experience: 10-15 Years
Job Summary:
We are seeking a strategic Data Architect to define and implement enterprise data architecture that aligns with business objectives and supports digital transformation initiatives.
This role is crucial in ensuring that data assets are structured, integrated, and optimized for analytics, reporting, and operational efficiency.
The Data Architect will collaborate with business stakeholders, IT leadership, and engineering teams to design scalable, secure, and high-performing data ecosystems that enable data-driven decision-making across the organization.
Responsibilities:
- Develop and maintain enterprise data architecture frameworks aligned with business goals.
- Design end-to-end data pipelines and integration strategies using modern cloud technologies.
- Define data modeling standards, metadata management, and governance principles.
- Collaborate with business analysts and data engineers to translate requirements into technical designs.
- Ensure data quality, consistency, and compliance with regulatory standards.
- Optimize data storage, retrieval, and transformation processes for performance and scalability.
- Lead architecture reviews and provide guidance on data platform enhancements.
- Evaluate emerging technologies and recommend adoption strategies for data modernization.
Mandatory Skills:
- AWS Glue – Expert
- PySpark – Expert
- Data Modeling (Conceptual, Logical, Physical) – Expert
- Cloud Data Architecture (AWS ecosystem) – Expert
- Data Governance & Metadata Management – Advanced
- SQL and NoSQL Databases – Advanced
- Data Lake & Warehouse Design (Redshift, Snowflake) – Advanced
- ETL/ELT Frameworks & Automation – Advanced
Preferred Skills:
- Good Communication
- Stakeholder Management
- Agile Methodology
- Documentation & Standards Problem Solving & Analytical Thinking
- Data Security & Compliance Awareness
- Leadership & Mentoring
Qualifications:
- Bachelor's degree in Computer Science, Information Technology, or a related field.
- Relevant certifications are a plus.
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