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Virtusa

Lead Software Engineer

Toronto, ON, Canada

Full-time

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Job details

Job type: Full-time
Apply by: Dec 3, 2026
Experience: Years of Experience: 5-7 Years
Posting language: English
Posted: Nov 3, 2026

Original job description

Data Architect

Location: PCS CA~TORONTO

Years of Experience: 5-7 Years

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.

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More about this job

Responsibilities

Develop enterprise data architecture and scalable data pipelines that support business goals, analytics, reporting, and operational efficiency. Establish data modeling, governance, metadata, quality, and compliance standards while guiding architecture reviews and evaluating modernization technologies.

Requirements

Requires 5–7 years of experience and expert-level skills in AWS Glue, PySpark, data modeling, and AWS cloud data architecture, along with advanced data governance, databases, data lake and warehouse design, and ETL/ELT. 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
Data Pipelines
Data Security and Compliance
Stakeholder Management

Visa sponsorship

Not detected in the job text

Keywords

Data Architecture
Enterprise Data Architecture
AWS Glue
PySpark
AWS
Data Modeling
Conceptual Data Models
Logical Data Models
Physical Data Models
Cloud Data Architecture
Data Governance
Metadata Management
SQL
NoSQL
Data Lakes
Data Warehouses
Amazon Redshift
Snowflake
ETL
ELT
Data Pipelines
Data Integration
Data Quality
Data Security
Regulatory Compliance
Analytics
Digital Transformation
Agile Methodology
Stakeholder Management
Data Modernization

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