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Publié il y a 6 jours

Data Architect

@ CONFLUX SYSTEMS

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Toronto, Ontario

Contrat15+ ans d’expérience
Postuler
SIGNAUX

Résumé des exigences :

  • Must-Have Skills: AWS & SAS
  • Experience: 10-15 Years
  • Looking for experienced Data Architects with strong hands-on experience in AWS and SAS.
  • Collaborate with business analysts and data engineers to translate requirements into technical designs.
  • Advanced ETL/ELT Frameworks & Automation – Advanced Preferred Skills: Good Communication Stakeholder Management Agile Methodology Documentation & Standards Problem Solving & Analytical…

Outils et compétences

AWSSASReportingLeadershipDecision makingCloud technologiesData modellingRegulatory complianceData storagePySparkSQLNoSQLAmazon RedshiftSnowflake
Source et dates

Type de source non vérifié · apify-linkedin

Date publiée par l’employeur
2026-11-04
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.

Postuler

CONFLUX SYSTEMS

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ChampValeur
Offres sur Jobsy1
Description

Job Title: Data Architect

Location: Toronto, ON, Canada (Hybrid)

Must-Have Skills: AWS & SAS

Experience: 10-15 Years

Looking for experienced Data Architects with strong hands-on experience in AWS and SAS.

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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