Data Architect
- Toronto, ON, Canada
Contract
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Job details
- Job type
- Contract
- Apply by
- Experience
- Experience: 10-15 Years
- Posting language
- English
- Posted
Original job 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
More about this job
Responsibilities
Develop and maintain enterprise data architecture, data pipelines, integration strategies, modeling standards, and governance practices aligned with business objectives. Collaborate with stakeholders and engineering teams to ensure data quality, compliance, performance, and scalability, while guiding platform enhancements and modernization.
Requirements
Requires 10–15 years of experience and expert hands-on skills in AWS Glue, PySpark, data modeling, and AWS cloud data architecture, along with advanced data governance, metadata management, databases, data lake and warehouse design, and ETL/ELT automation. A bachelor's degree in computer science, information technology, or a related field is required; relevant certifications are a plus.
Skills
- AWS Glue
- PySpark
- Data Modeling
- AWS Cloud Data Architecture
- Data Governance
- Metadata Management
- SQL
- NoSQL Databases
- Data Lake Design
- Data Warehouse Design
- Redshift
- Snowflake
- ETL/ELT Frameworks
- Data Security
- Stakeholder Management
- Agile Methodology
Visa sponsorship
Not detected in the job text
Categories
- Data & Analytics
- Technology
- Software
- Management & Leadership
Keywords
- AWS
- AWS Glue
- PySpark
- SAS
- Data Architecture
- Enterprise Data Architecture
- Data Modeling
- Conceptual Data Modeling
- Logical Data Modeling
- Physical Data Modeling
- Cloud Data Architecture
- Data Governance
- Metadata Management
- SQL
- NoSQL
- Redshift
- Snowflake
- Data Lakes
- Data Warehouses
- ETL
- ELT
- Data Pipelines
- Data Integration
- Data Quality
- Data Security
- Regulatory Compliance
- Digital Transformation
- Agile Methodology
- Stakeholder Management
- Data Modernization