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Data Architect (Azure & AWS)

  • ON, Canada
  • Ontario, Canada, Canada

Full-time

This opening has closed.

The original listing is kept below for reference.

Job details

Job type
Full-time
Closing date
Posting language
English
Posted

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Original job description

Archived listing. The details below describe a past opening.

Position: Data Architect - Technical Architect

Location: Hybrid- Toronto, ON

Job type: Full-time/Permanent hiring

Total Experience: 6 - 8 years

Required Skill Set: Minimum 4-5 years of experience in ETL, Azure, ADF, Databricks, Bigdata, AWS.

Role Overview

Design and implement scalable, secure and efficient enterprise data architectures aligned with business requirements. Architect modern data warehouses, data lakes, and cloud-based data platforms using ETL, Azure, ADF, Databricks, big data and AWS.

Key Responsibilities

  • Data Architecture: Design and implement scalable, secure and efficient enterprise data architectures aligned with business requirements.
  • Data Modeling: Develop conceptual, logical, and physical data models to support operational and analytical systems.
  • Modern Warehousing: Architect modern data warehouses, data lakes, and cloud-based data platforms.
  • Integration Strategy: Define data integration strategies, including ETL/ELT pipelines, batch processing and real-time streams.
  • Technology Evaluation: Evaluate and recommend data technologies, platforms, and architectural solutions based on business needs.
More about this job

Responsibilities

Design and implement scalable, secure enterprise data architectures, including modern data warehouses, data lakes, and cloud-based platforms. Develop data models, define ETL/ELT and batch or real-time integration strategies, and evaluate technologies and architectural solutions against business needs.

Requirements

The role calls for 6–8 years of total experience, including at least 4–5 years working with ETL, Azure, Azure Data Factory, Databricks, big data, and AWS. The posting does not specify an education requirement.

Skills

  • Data Architecture
  • Data Modeling
  • ETL
  • ELT
  • Azure
  • Azure Data Factory
  • Databricks
  • Big Data
  • AWS
  • Data Warehousing
  • Data Lakes
  • Cloud Data Platforms
  • Batch Processing
  • Real-Time Data Streams
  • Data Integration

Visa sponsorship

Not detected in the job text

Categories

  • Data & Analytics
  • Technology
  • Software

Keywords

  • Data Architecture
  • Enterprise Data Architecture
  • Data Modeling
  • Conceptual Data Models
  • Logical Data Models
  • Physical Data Models
  • ETL
  • ELT
  • Azure
  • Azure Data Factory
  • Databricks
  • Big Data
  • AWS
  • Data Warehouses
  • Data Lakes
  • Cloud Data Platforms
  • Data Integration
  • Batch Processing
  • Real-Time Data Streams
  • Technology Evaluation

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