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Added 26 mins ago
DT
Gestionnaire de projet - Gestionnaire de programme sénior - Senior Project - Program Manager
Dell Technologies
ON · ON, Canada
- Full-time
Added 40 mins ago
P
Technology Strategy & Transformation, Senior Associate
PwC
Toronto, ON
- Full-time
Lead technology strategy and transformation programmes, with a focus on infrastructure, AI, data, and digital technologies across a variety of industries.
Added 56 mins ago
ES
Senior Cloud & Infrastructure Engineer (Azure & Terraform)
EPAM Systems
Canada
- Full-time
Advanced Azure networking implementation (Hub-and-Spoke, Private DNS, Service/Private Endpoints at scale)
Added 56 mins ago
BC
Quality and Patient Safety Consultant
Brant Community Healthcare System
Brantford, ON
- Full-time
At BCHS, we are driven by a bold vision: To Lead Beyond Care. As a two-site community hospital system in Brantford and Paris, Ontario, we serve with purpose, passion, and a deep commitment…
Added 56 mins ago
BC
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Brantford, ON
- Full-time
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Registered Nurse - CCU
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Brantford, ON
- Full-time
At BCHS, we are driven by a bold vision: To Lead Beyond Care. As a two-site community hospital system in Brantford and Paris, Ontario, we serve with purpose, passion, and a deep commitment…
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Brantford, ON
- Full-time
At BCHS, we are driven by a bold vision: To Lead Beyond Care. As a two-site community hospital system in Brantford and Paris, Ontario, we serve with purpose, passion, and a deep commitment…
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RQ11697 – Change Management Consultant – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
…change adoption and success, and help ensure the successful implementation of modernization…
Added 1 hour ago
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S M Software Solutions Inc
Toronto, ON
- Internship
…methods and techniques associated with the development and implementation of enterprise architecture…
Added 1 hour ago
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RQ00388 – Solution Architect
S M Software Solutions Inc
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- Full-time
…business, technical, support, and healthcare stakeholders to lead and participate in the analysis, design, development, implementation, testing, and stabilization of technical…
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RQ11619 – Business Analyst – Senior
S M Software Solutions Inc
Toronto, ON
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Added 1 hour ago
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RQ11611 – Business Analyst – Senior
S M Software Solutions Inc
Toronto, ON
- Internship
…engagement, and I&IT solution delivery. The successful candidate will lead business analysis activities, facilitate workshops, document functional and technical requirements, support UX and…
Added 1 hour ago
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RQ11612 – Business Analyst – Senior
S M Software Solutions Inc
Toronto, ON
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RQ11706 – Software Developer – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
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Added 1 hour ago
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RQ11475 - Software Developer - CRM - Senior
S M Software Solutions Inc
Toronto, ON
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Lead CI/CD implementation using Azure DevOps and GitHub.
Added 1 hour ago
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GOAPRDJP000001045 – Project Manager (IT) – Senior
S M Software Solutions Inc
AB · Edmonton, AB
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Experience with Microsoft 365 implementation projects, including multiple Office 365 products and requirements – 3 years.
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RQ11622 – Systems Testing/QA Specialist – Senior
S M Software Solutions Inc
Toronto, ON
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…the various components. The tester will work with the testing lead and IT lead of each project as well as the project team members in the analysis, design, development, implementation and…
Added 2 hours ago
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Project Engineering Manager
Worley
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- Full-time
Lead the engineering component of multidisciplinary EPC and EPCM projects from studies and FEED through detailed engineering, procurement, construction support, commissioning and handover.
Added 3 hours ago
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Manager, Cardiology
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We’re looking for a strategic and dynamic Technical Project Manager to lead the cybersecurity program advancement at MGH. Reporting to the IT Technical and Client Services Manager, this…
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Added 4 hours ago
L
Principal AI/ML Engineer
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Tata Consultancy Services

Data & Analytics Solutions Architect - Hadoop

Toronto, ON, Canada

$110,000 to $130,000 CAD / year · Full-time

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Job details

Pay: $110,000 to $130,000 CAD / year
Job type: Full-time
Apply by: Nov 8, 2026
Posting language: English
Posted: Oct 9, 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.

TCS has been serving the Canadian marketplace for more than 35 years and today is the technology partner of choice for many of the country's leading organizations. As one of the largest IT services providers in Canada and globally, TCS is aiming 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 and values of the Tata Group, TCS is focused on creating long-term value for its clients, investors, employees, and the communities it serves. With a highly skilled workforce supporting customers from coast to coast, TCS has consistently been recognized as a Top Employer by the Top Employers Institute, including a recent top ranking at the country level.

TCS also sponsors 14 of the world's most prestigious marathons and endurance events, including the TCS Toronto Waterfront Marathon, reflecting its commitment to health, sustainability, and community empowerment.

Job Description :-

Skills Required:

Must to Have:

Senior years of experience in Enterprise Data Architecture, Hadoop Ecosystem, Big Data Engineering, and Data Platform Modernization.

Strong hands-on expertise in Hadoop, HDFS, YARN, Hive, Spark, PySpark, Kafka, SQL, Python, Java, and Scala.

Experience designing and implementing large-scale Big Data and Data Lake architectures supporting analytics, reporting, and AI workloads.

Strong understanding of Hadoop platform architecture, including HDFS, YARN, high availability, cluster management, workload optimization, and scalability.

Senior years of experience in Enterprise Data Architecture, Hadoop Ecosystem, Big Data Engineering, and Data Platform Modernization.

Strong hands-on expertise in Hadoop, HDFS, YARN, Hive, Spark, PySpark, Kafka, SQL, Python, Java, and Scala.

Experience designing and implementing large-scale Big Data and Data Lake architectures supporting analytics, reporting, and AI workloads.

Strong understanding of Hadoop platform architecture, including HDFS, YARN, high availability, cluster management, workload optimization, and scalability.

Expertise in batch and distributed data processing using Spark, Hive, HBase, and MapReduce frameworks.

Experience building data ingestion and streaming solutions using Kafka and Hadoop ecosystem tools.

Strong knowledge of Data Engineering practices, including ETL/ELT, data integration, data quality, metadata management, lineage, observability, and DataOps.

Experience with Data Lake, Data Warehousing, Enterprise Data Models, Master Data, and Data Governance frameworks.

Strong understanding of security and governance controls, including Kerberos, Ranger, encryption, privacy, auditability, compliance, and controlled data access.

Proven experience in architecture definition, HLD/LLD creation, migration planning, technical governance, production readiness, and performance optimization.

Experience supporting platform modernization, cloud adoption, solutioning, effort estimation, and client-facing technical discussions.

Good understanding of BFSI regulatory, security, privacy, resilience, and audit requirements.

Preferred certifications in Hadoop, Spark, Cloud Data Engineering, Enterprise Architecture, Data Management, Security, or Big Data Platforms.

Roles and Responsibilities:

Engage with business and technology stakeholders to understand business objectives, data platform requirements, and modernization goals.

Define end-to-end architecture for Hadoop and Big Data platforms supporting analytics, reporting, and AI workloads.

Design scalable, secure, and high-performance Hadoop ecosystems using HDFS, YARN, Spark, Kafka, Hive, and related technologies.

Architect data ingestion, batch processing, streaming, and data lake solutions for enterprise-scale environments.

Define data models, data lake zones, governance frameworks, metadata management, lineage, and security standards.

Lead Hadoop modernization, migration, and platform optimization initiatives to improve performance, scalability, and operational efficiency.

Establish architecture standards, reusable frameworks, engineering best practices, and DataOps operating models.

Provide technical leadership across solution design, implementation, testing, migration, deployment, and production support activities.

Conduct architecture reviews, identify risks and dependencies, and guide teams on mitigation strategies and best practices.

Drive performance tuning, capacity planning, reliability improvements, and infrastructure cost optimization.

Collaborate with data engineers, platform teams, architects, vendors, and client stakeholders to deliver enterprise data solutions.

Support solutioning, RFP responses, effort estimation, technical presentations, and client workshops.

Mentor architects and engineers and contribute to hiring, capability development, and knowledge-sharing initiatives.

Develop reusable accelerators, reference architectures, implementation frameworks, and technical best practices for Big Data platforms

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

Define and lead secure, scalable Hadoop and Big Data architectures for analytics, reporting, and AI, including data ingestion, batch and streaming processing, governance, and platform modernization. Provide technical leadership across design, migration, optimization, and production readiness while advising stakeholders, mentoring teams, and supporting client solutioning.

Requirements

Requires extensive experience in enterprise data architecture, Hadoop ecosystems, Big Data engineering, and data platform modernization, with hands-on expertise in Hadoop, Spark, Kafka, SQL, and programming languages including Python, Java, and Scala. Candidates should also bring experience with data governance and security, architecture and migration planning, performance optimization, and BFSI regulatory requirements; relevant certifications are preferred.

Skills

Enterprise Data Architecture
Hadoop
HDFS
YARN
Hive
Spark
PySpark
Kafka
SQL
Python
Java
Scala
Big Data Engineering
Data Lake Architecture
Data Governance
DataOps

Visa sponsorship

Not detected in the job text

Keywords

Enterprise Data Architecture
Hadoop
HDFS
YARN
Hive
Spark
PySpark
Kafka
HBase
MapReduce
SQL
Python
Java
Scala
Big Data Engineering
Data Lake
Data Warehousing
ETL/ELT
Data Integration
Data Quality
Metadata Management
Data Lineage
DataOps
Data Governance
Kerberos
Ranger
Cloud Adoption
Platform Modernization
BFSI
High Availability

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