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Added 9 mins ago
W
Machine Learning Engineer Intern
Workday
Toronto, ON · Vancouver, BC · Canada, BC, Vancouver
- Full-time
Added 9 mins ago
W
Product Manager Intern
Workday
Vancouver, BC · Canada, BC, Vancouver
- Full-time
Use data and analytics to drive decision-making in product development
Added 9 mins ago
W
Software Development Engineer Intern
Workday
Vancouver, BC · Canada, BC, Vancouver
- Full-time
…real-world solutions and experience what it's like to be a developer at Workday. You'll work closely with a team of experienced engineers and product managers to grow your technical skills…
Added 23 mins ago
AC
Analyste Comptable
Aston Carter
Montreal, QC
- Contract
Added 23 mins ago
AC
Gestion Des Aménagement De Bureau
Aston Carter
Laval, QC
- Contract
Added 23 mins ago
AC
Analyste Financier Principal
Aston Carter
Montreal, QC
- Full-time
Added 23 mins ago
KG
Director - Geological Data & Database Management
Kinross Gold Corporation
Toronto, ON
- Full-time
Added 23 mins ago
QI
Machine Learning Engineer, AI Processors (Sr to Staff)
Qualcomm Innovation Center, Inc.
Markham, ON
- Full-time
Added 24 mins ago
WS
Director of Marketing
Waterplay Solutions Corp
Kelowna, BC
- $140,000 to $165,000 CAD / year
- Full-time
…success. With experience in digital marketing, CRM, automation, analytics, and AI, you embrace innovation and continuous improvement. You balance strategic thinking with practical…
Added 24 mins ago
SP
Manager, Marketing
SURREY PLACE
ON
- Full-time
- Contract
Produce regular dashboards and campaign reports using Google Analytics, Dynamics 365 and paid media platforms.
Added 24 mins ago
TE
Auditor
THE EMPIRE LIFE INS. CO
Toronto, ON · Kingston, ON
- Full-time
Ensure assigned testing is complete in accordance with departmental policies, procedures and guidelines; according to the schedule using data analytics and automation
Added 39 mins ago
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Gestionnaire principal en transformation financière
Accenture
Montreal, QC
- Full-time
Minimum 8 years’ experience with finance functions (analytics, forecasting, core finance), including operating models, organization structures, and process redesign
Added 39 mins ago
A
Gestionnaire principal en transformation financière
Accenture
Vancouver, BC
- Full-time
Minimum 8 years’ experience with finance functions (analytics, forecasting, core finance), including operating models, organization structures, and process redesign
Added 53 mins ago
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Senior Product Operations Manager
LiveKit
Canada
- Full-time
Choose and run the team's tools. You decide how the product team uses its tools, from roadmapping and analytics to AI, and you make sure PMs get real leverage from them.
Added 53 mins ago
SP
Manager, Marketing
Surrey Place
Toronto, ON
- Full-time
Produce regular dashboards and campaign reports using Google Analytics, Dynamics 365 and paid media platforms.
Added 53 mins ago
CC
Analyst, Inventory Control
Coca-Cola Canada Bottling Limited
Brampton, ON
- Full-time
Added 53 mins ago
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Vice President Information Technology
Executrade – Your Recruitment Specialists
AB · Edmonton, AB
- Full-time
Identify practical, high-value opportunities for AI, advanced analytics, and automation across the business.
Added 1 hour ago
S
Pension Advisor
Sobeys
Mississauga, ON
- Full-time
Added 1 hour ago
MR
Go Engineer
Motion Recruitment
Toronto, ON
- $130,000 to $160,000 USD / year
- Full-time
Our team's partnered with a company who has developed a platform that combines connectivity, integration, analytics and AI into one scalable solution. The overall goal being to simplify…
Added 1 hour ago
J&
Sr. Director, ERP Supply Chain & SAP Technology Platforms, Orthopedics
Johnson & Johnson MedTech
NB · Brunswick, NB
- Full-time
…to modernize and rationalize platforms, strengthen data and analytics, and drive measurable business value through technology. The role reports into the DePuy Synthes Technology…
Added 1 hour ago
MG
Director of Marketing
MAKR Group
Kelowna, BC
- Full-time
…success. With experience in digital marketing, CRM, automation, analytics, and AI, you embrace innovation and continuous improvement. You balance strategic thinking with practical…
Added 1 hour ago
WT
QA Lead / Test Manager
Wissen Technology
Montreal, QC
- Full-time
Added 1 hour ago
TC
Regional Marketing Manager - Quebec Zone
Toyota Canada Inc.
Brossard, QC
- Full-time
Guide dealers in the effective use of marketing resources, including AdBuilder, digital guides, Google Analytics, internal websites, digital advertising analytics and model-related…
Added 1 hour ago
TS
Marketing Specialist
The Sutherland Group of Companies
West Kelowna, BC
- $60,000 to $70,000 CAD / year
- Full-time
Track marketing performance, campaign effectiveness, and customer engagement through CRM and marketing analytics tools, providing recommendations for improvement.
Added 1 hour ago
TA
Sr. Analytics Consultant
Tiger Analytics Inc.
Remote, Canada
- Full-time
- Remote
Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our…

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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