Data Architect With AWS Glue PySpark Data Modeling 12+ Years
- Mississauga, ON, Canada
Full-time
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Original job description
Role: Data Architect
Location: Mississauga, ON (Hybrid)
Job Summary: We are seeking an experienced Data Architect to design, develop, and optimize scalable cloud-based data architectures within the AWS ecosystem. The role requires deep expertise in AWS Glue, PySpark, data modeling, cloud data architecture, and data governance. The ideal candidate will drive data platform modernization while ensuring data quality, performance, scalability, and regulatory compliance.
Key Responsibilities:
Design and implement scalable data architectures using AWS cloud services.
Ensure data quality, consistency, integrity, and compliance with regulatory standards.
Optimize data storage, retrieval, transformation, and processing for performance and scalability.
Lead data architecture reviews and provide technical guidance on data platform enhancements.
Design and implement conceptual, logical, and physical data models.
Define and implement data lake, data warehouse, and ETL/ELT architecture solutions.
Establish data governance, metadata management, and data management standards.
Evaluate emerging technologies and recommend solutions for data modernization.
Collaborate with stakeholders and engineering teams to deliver scalable data solutions.
Mandatory Technical Skills:
AWS Glue – Expert
PySpark – Expert
Data Modeling (Conceptual, Logical, and Physical) – Expert
Cloud Data Architecture (AWS Ecosystem) – Expert
Data Governance and Metadata Management – Advanced
SQL and NoSQL Databases – Advanced
Data Lake and Data Warehouse Design (Amazon Redshift, Snowflake) – Advanced
ETL/ELT Frameworks and Automation – Advanced
Preferred Skills:
Strong communication and stakeholder management skills.
Experience working in Agile environments.
Knowledge of technical documentation and architecture standards.
Strong problem-solving and analytical abilities.
Awareness of data security and regulatory compliance.
Leadership, mentoring, and technical guidance experience.
Qualifications:
Bachelor's degree in Computer Science, Information Technology, or a related field.
More about this job
Responsibilities
Design and optimize scalable AWS data architectures, including data lakes, data warehouses, and ETL/ELT solutions, while ensuring data quality, performance, governance, and regulatory compliance. Lead architecture reviews and modernization efforts, establish data models and standards, and collaborate with stakeholders and engineering teams to deliver data solutions.
Requirements
The role calls for 12+ years of experience and expert-level skills in AWS Glue, PySpark, data modeling, and AWS cloud data architecture, along with advanced data governance, database, data warehouse, and ETL/ELT expertise. A bachelor's degree in Computer Science, Information Technology, or a related field is specified; communication, Agile experience, documentation, analytical ability, and technical leadership are also valued.
Skills
- AWS Glue
- PySpark
- Data Modeling
- AWS Cloud Data Architecture
- Data Governance
- Metadata Management
- SQL
- NoSQL Databases
- Amazon Redshift
- Snowflake
- Data Lake Design
- Data Warehouse Design
- ETL/ELT
- Data Quality
- Regulatory Compliance
- Stakeholder Management
Visa sponsorship
Not detected in the job text
Categories
- Data & Analytics
- Technology
- Software
- Management & Leadership
- Consulting
Keywords
- AWS
- AWS Glue
- PySpark
- Data Architecture
- Cloud Data Architecture
- Data Modeling
- Conceptual Data Models
- Logical Data Models
- Physical Data Models
- Data Governance
- Metadata Management
- SQL
- NoSQL
- Amazon Redshift
- Snowflake
- Data Lakes
- Data Warehouses
- ETL/ELT
- Data Quality
- Data Integrity
- Data Modernization
- Data Security
- Regulatory Compliance
- Agile
- Technical Documentation
- Architecture Standards
- Stakeholder Management
- Technical Leadership