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Data Architect - Technical Architect : Toronto, ON (Hybrid) : FTE

  • Toronto, ON, Canada

Salary range : CSD $ 100 K/Year Base +Benifts. · Full-time

This opening has closed.

The original listing is kept below for reference.

Job details

Pay
Salary range : CSD $ 100 K/Year Base +Benifts.
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.

Job Role : Data Architect - Technical Architect

Location : Toronto, ON (Hybrid)

Experience: 06 - 08 years of experience

Job Type : Full time Permanent

Salary range : CSD $ 100 K/Year Base +Benifts.

Total Experience: 6 - 8 years

Role Description: Design and implement scalable, secure and efficient enterprise data architectures aligned with business requirement and also architect modern data warehouse, data lakes, and cloud-based data plat form using ETL, Azure, ADF, Databricks, big data and AWS.

Required Skill Set:

  • Minimum 4-5 years of experience in ETL, Azure, ADF, Databricks, Bigdata, AWS.
  • Design and implement scalable, secure and efficient enterprise data architectures aligned with business requirement.
  • Develop conceptual, logical, and physical data models to support operational and anlytical system.
  • Architect modern data warehouses, data lakes, and cloud-based data.
  • Define data integration strategies, including ETLELT pipelines, batch processing and real-time.
  • Evaluate and recommend data technologies platforms, and architectural solution based on business needs.
More about this job

Responsibilities

Design and implement scalable, secure enterprise data architectures aligned with business requirements, including conceptual, logical, and physical data models. Architect modern data warehouses, data lakes, and cloud data platforms, and define integration strategies for batch and real-time processing.

Requirements

The role requires 6–8 years of experience overall, including at least 4–5 years working with ETL, Azure, Azure Data Factory, Databricks, big data, and AWS. Candidates should be able to design enterprise data architectures, develop data models, and recommend suitable data technologies and platforms.

Skills

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

Visa sponsorship

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Categories

  • Data & Analytics
  • Technology
  • Software

Keywords

  • Data Architect
  • Technical Architect
  • Enterprise Data Architecture
  • ETL
  • ELT
  • Azure
  • Azure Data Factory
  • Databricks
  • Big Data
  • AWS
  • Data Modeling
  • Conceptual Data Models
  • Logical Data Models
  • Physical Data Models
  • Data Warehouse
  • Data Lakes
  • Cloud Data Platforms
  • Data Integration
  • Batch Processing
  • Real-Time Processing
  • Scalable Architecture
  • Secure Architecture
  • Operational Systems
  • Analytical Systems
  • Technology Evaluation

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