Data Architect -6

Realign Llc; Toronto; Hybrid; CAD 120,000 - 160,000; Full time

Job summary

Realign Llc in Toronto, ON is seeking an experienced Data Architect - Technical Architect with 6–8 years of data architecture, data engineering, and cloud platform delivery. You will design scalable data architectures for data warehouses, data lakes, and modern analytics platforms on Azure, AWS, and Databricks.

You will lead conceptual, logical, and physical data models, define ETL/ELT strategies, establish standards, and collaborate with business and engineering teams to translate requirements

Qualifications

• Experience designing enterprise data architectures and strategies.
• Strong collaboration and communication with business and technical teams.
• Ability to translate business requirements into scalable data models and architectures.

Responsibilities

• Design scalable, secure enterprise data architectures.
• Develop conceptual, logical, and physical data models.
• Architect data warehouses, data lakes, and cloud platforms.
• Define ETL/ELT pipelines, batch and real-time processing.
• Design data solutions using Azure, ADF, Databricks, Big Data technologies, and AWS.
• Evaluate and recommend data technologies, platforms, and architectural solutions.
• Establish data architecture standards, patterns, and best practices.
• Collaborate with business, data engineering, development, and infrastructure teams to translate requirements into scalable data solutions.
• Ensure data architectures meet security, scalability, performance, reliability, and maintainability.
• Provide technical leadership and architectural guidance throughout data platform implementation.

Skills

Data architecture

Cloud data platforms

Data modeling

Stakeholder management

Tools

ETL

Azure

Azure Data Factory

Databricks

Big Data

AWS

Job description

Location: Toronto, ON
Work Model: Hybrid
Job Type: Full Time
Experience: 6–8 Years

Primary Skills

Job Description

We are seeking an experienced Data Architect - Technical Architect with 6–8 years of experience in designing and implementing scalable, secure, and efficient enterprise data architectures. The ideal candidate will have strong expertise across ETL, Azure, Azure Data Factory (ADF), Databricks, Big Data, and AWS.

The role will focus on architecting modern data platforms, data warehouses, data lakes, and cloud-based data solutions aligned with business requirements and enterprise technology strategies.

Key Responsibilities

• Design and implement scalable, secure, and efficient enterprise data architectures aligned with business requirements.
• Develop conceptual, logical, and physical data models to support operational and analytical systems.
• Architect and implement modern data warehouses, data lakes, and cloud-based data platforms.
• Define data integration strategies covering ETL/ELT pipelines, batch processing, and real-time data processing.
• Design data solutions using Azure, Azure Data Factory (ADF), Databricks, Big Data technologies, and AWS.
• Evaluate and recommend appropriate data technologies, platforms, and architectural solutions based on business and technical requirements.
• Establish data architecture standards, patterns, and best practices.
• Collaborate with business, data engineering, development, and infrastructure teams to translate requirements into scalable data solutions.
• Ensure data architectures meet requirements for security, scalability, performance, reliability, and maintainability.
• Provide technical leadership and architectural guidance throughout data platform implementation.

Required Skills & Experience

• 6–8 years of overall experience in data architecture, data engineering, or technical architecture.
• Minimum 4–5 years of hands‑on experience with:
  • ETL
  • Azure
  • Azure Data Factory (ADF)
  • Databricks
  • Big Data technologies
  • AWS
• Experience developing conceptual, logical, and physical data models.
• Strong understanding of data warehouse and data lake architectures.
• Hands‑on experience defining ETL/ELT, batch, and real‑time data integration strategies.
• Strong knowledge of cloud‑based data platforms and modern data architecture patterns.
• Ability to evaluate data technologies and recommend solutions based on business requirements.
• Strong analytical, problem‑solving, communication, and stakeholder management skills.

Preferred Skills

• Experience with modern cloud data architecture and distributed data processing.
• Knowledge of data governance, security, and data quality practices.
• Experience working in enterprise‑scale data transformation initiatives.

Required Skills

Data Analyst