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Publié il y a 3 jours

Azure Databricks Architect

@ HabileLabs

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Toronto, Ontario

Contrat
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SIGNAUX

Responsabilités :

  • Architect end-to-end data and analytics solutions on Azure and Databricks.
  • Design scalable platforms supporting batch, streaming, and real-time analytics.
  • Lead solution design discussions, architecture reviews, and technical governance.
  • Define data lake, data warehouse, lakehouse, and data mesh architectures.
  • Translate business requirements into practical technical solutions.
  • Establish platform security, governance, and compliance standards.

Résumé des exigences :

  • Translate business requirements into practical technical solutions.
  • Required Technical Skills
  • Required Qualifications
  • Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field.
  • 10+ years of experience in Data Engineering, Cloud Architecture, or Solution Architecture.
  • 5+ years of hands-on experience with Azure cloud services.
Source et dates

Type de source non vérifié · apify-linkedin

Date publiée par l’employeur
2026-11-10
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

HabileLabs

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ChampValeur
Offres sur Jobsy1
Description

Role Overview

Habilelabs is seeking an experienced Lead Architect with strong expertise in Microsoft Azure, Databricks, and modern Data & AI platforms. This role will design and deliver scalable, secure, high-performing enterprise data solutions while working closely with business stakeholders, engineering teams, and clients.

Key Responsibilities

  • Architect end-to-end data and analytics solutions on Azure and Databricks.
  • Design scalable platforms supporting batch, streaming, and real-time analytics.
  • Lead solution design discussions, architecture reviews, and technical governance.
  • Define data lake, data warehouse, lakehouse, and data mesh architectures.
  • Translate business requirements into practical technical solutions.
  • Establish platform security, governance, and compliance standards.
  • Design data integration frameworks using Azure-native services and Databricks.
  • Drive performance optimization, cloud cost management, and modernization initiatives.
  • Provide technical leadership and mentor engineering teams.
  • Support proposal development, effort estimation, and client presentations.
  • Ensure alignment with enterprise architecture standards and best practices.

Required Technical Skills

  • Azure: Azure Data Factory, Azure Databricks, ADLS Gen2, Azure Synapse Analytics, Azure SQL Database, Azure Event Hub, Azure Service Bus, Azure Functions, Azure Key Vault, Azure Monitor, and Microsoft Entra ID.
  • Databricks: Lakehouse Architecture, Delta Lake, Unity Catalog, Databricks Workflows, Structured Streaming, Medallion Architecture, cluster optimization, and performance tuning.
  • Data Engineering: Python, PySpark, SQL, data modeling, ETL/ELT frameworks, data warehousing, and real-time data processing.
  • DevOps and Automation: Azure DevOps, CI/CD pipelines, Git, and Infrastructure as Code. Terraform is preferred.

Required Qualifications

  • Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related field.
  • 10+ years of experience in Data Engineering, Cloud Architecture, or Solution Architecture.
  • 5+ years of hands-on experience with Azure cloud services.
  • 4+ years of hands-on experience with Databricks and Spark-based solutions.
  • Demonstrated experience designing enterprise-scale data platforms.
  • Experience working with large-scale structured and unstructured datasets.
  • Strong stakeholder management and client-facing communication skills.

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