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Added 17 mins ago
PM
Coordinator, Revenue Operations
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Toronto, ON
- Full-time
You'll have the opportunity to learn and lead:
Added 17 mins ago
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Added 33 mins ago
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Tata Consultancy Services

Data Migration Lead

Toronto, ON, Canada
Greater Toronto Area, Canada, Canada

$85,000 to $100,000 CAD / year · Full-time

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Job details

Pay: $85,000 to $100,000 CAD / year
Job type: Full-time
Apply by: Nov 1, 2026
Posting language: English
Posted: Oct 2, 2026

Original job description

Inclusion without Exception

Tata Consultancy Services (TCS) is an equal opportunity employer, and embraces diversity in race, nationality, ethnicity, gender, age, physical ability, neurodiversity, and sexual orientation, to create a workforce that reflects the societies we operate in. Our continued commitment to Culture and Diversity is reflected in our people stories across our workforce and implemented through equitable workplace policies and processes.

Tata Consultancy Services (BSE: 532540, NSE: TCS) is the technology partner of choice for industry-leading organizations worldwide. Since its inception in 1968, TCS has upheld the highest standards of innovation, engineering excellence and customer service.

It has set an aspiration to become the world's largest AI-led technology services company and is enabling its clients to transform themselves across the full AI stack, from infrastructure to intelligence.

Rooted in the heritage of the Tata Group, TCS is focused on creating long term value for its clients, its investors, its employees, and the community at large. With a highly skilled workforce spread across 56 countries and 194 service delivery centers across the world, the company has been recognized as a top employer in six continents. With the ability to rapidly apply and scale new technologies, the company has built long term partnerships with its clients. Many of these relationships have endured into decades and navigated every technology cycle, from mainframes in the 1970s to artificial intelligence today.

Job Summary

We are seeking a highly skilled Data Migration Lead with strong QA and data validation expertise to drive our enterprise-scale cloud data migration initiatives. In this role, you will lead the end-to-end strategy, execution, and quality assurance of complex data migration tracks. You will leverage the Microsoft Azure ecosystem, specifically Azure Databricks and Azure Data Factory (ADF), to design high-performance ETL pipelines while establishing rigorous source-to-target reconciliation and automated data quality frameworks. The ideal candidate acts as the bridge between technical data engineering teams and business stakeholders, ensuring that data is migrated securely, accurately, and with zero business disruption.

Key Responsibilities

Migration Strategy & Leadership: Lead end-to-end data migration tracks from initial scoping, legacy profiling, and planning through production cutover and deployment.

Define comprehensive migration strategies, source-to-target mapping (S2T) documents, and fallback/rollback procedures.

Coordinate with cross-functional stakeholders, including product owners, system architects, and business teams, to align on migration criteria and business logic.

ETL Engineering & Orchestration: Design and optimize ETL/ELT pipelines to ingest, transform, and load massive scale datasets from disparate legacy systems into Azure Cloud.

Build optimized migration frameworks inside Azure Databricks using PySpark, Delta Lake, and Medallion architecture patterns.

Orchestrate complex workflows and data movements via Azure Data Factory, managing incremental loads, scheduling, and error handling.QA, Data Quality & Reconciliation

Establish the data validation framework, implementing rules for advanced data profiling, cleansing, deduplication, and survivorship.

Author comprehensive test strategies encompassing System Integration Testing (SIT), User Acceptance Testing (UAT), regression testing, and final production validation.

Build automated source-to-target reconciliation

Salary Range - CA$ 90,000 - CA$ 100,000 Per annum

TCS does not use artificial intelligence tools for candidate screening or evaluation. This post is for a current vacancy. The hiring process includes an initial screening, followed by a technical evaluation and managerial discussion.

Tata Consultancy Services Canada Inc. is committed to meeting the accessibility needs of all individuals in accordance with the Accessibility for Ontarians with Disabilities Act (AODA) and the Ontario Human Rights Code (OHRC). Should you require accommodation during the recruitment and selection process, please inform Human Resources.

Thank you for your interest in TCS. Candidates that meet the qualifications for this position will be contacted within a 2-week period. We invite you to continue to apply for other opportunities that match your profile.

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More about this job

Responsibilities

Lead end-to-end enterprise data migration initiatives, from scoping and legacy data profiling through production cutover, using Azure Databricks and Azure Data Factory to build and orchestrate scalable ETL/ELT pipelines. Establish migration strategies, source-to-target reconciliation, automated data quality controls, and testing processes while coordinating with technical teams and business stakeholders.

Requirements

The role calls for strong data migration, QA, and data validation expertise, including experience with Azure Databricks, Azure Data Factory, PySpark, Delta Lake, and large-scale ETL/ELT pipelines. It also requires the ability to lead complex migration tracks, develop reconciliation and testing frameworks, and work across technical and business teams; no specific education or years of experience are stated.

Skills

Data Migration
Quality Assurance
Data Validation
Azure Databricks
Azure Data Factory
ETL/ELT
PySpark
Delta Lake
Medallion Architecture
Data Reconciliation
Data Profiling
Data Cleansing
Deduplication
Source-to-Target Mapping
SIT/UAT Testing
Stakeholder Coordination

Visa sponsorship

Not detected in the job text

Keywords

Data Migration
Cloud Data Migration
Quality Assurance
Data Validation
Microsoft Azure
Azure Databricks
Azure Data Factory
ETL
ELT
PySpark
Delta Lake
Medallion Architecture
Data Pipelines
Workflow Orchestration
Source-to-Target Mapping
Data Reconciliation
Data Profiling
Data Cleansing
Deduplication
Data Survivorship
Incremental Loads
Error Handling
System Integration Testing
User Acceptance Testing
Regression Testing
Production Cutover
Rollback Procedures
Legacy Systems
Stakeholder Coordination
Business Logic

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