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Added 10 mins ago
C
Senior Python Engineer
Citi
Mississauga, ON
- Full-time
We are seeking a highly experienced and technically proficient Senior Python Developer with 6+ years of hands-on experience to design, develop, and deliver critical, scalable, highly…
Added 24 mins ago
SR
Senior Software Engineer
Sage Recruiting Inc.
Toronto, ON
- $180,000 to $220,000 CAD / year
- Full-time
They’re hiring multiple engineers, all full-stack with a backend focus, to work on the core product. You could also mix in some ETL work or work on their RAG engine in Python if that’s of…
Added 25 mins ago
VC
Staff Software Engineer
Valsoft Corporation
Remote, Canada
- Full-time
- Remote
…systems into modern, cloud-capable solutions. You'll operate with significant autonomy, act as a force multiplier for the rest of the engineering team, work closely with our Head of R&D as…
Added 40 mins ago
GS
Business Systems Developer
Grantek Systems Integration
Burlington, ON
- Full-time
…members. We are a team of dedicated Engineers and Designers with an average of 7 years’ tenure at Grantek. The vast majority of our employees have started off their careers at Grantek and…
Added 53 mins ago
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Programmer
RI-MUHC | Research Institute of the MUHC | #rimuhc
Montreal, QC
- Full-time
…arm of the McGill University Health Centre (MUHC) affiliated with the Faculty of Medicine at McGill University. The RI-MUHC is supported in part by the Fonds de recherche du Québec - Santé…
Added 53 mins ago
B
Senior Data Scientist – Generative AI & Machine Learning
Bevertec
Toronto, ON
- Contract
Strong hands-on Python programming skills for machine learning and GenAI applications.
Added 53 mins ago
B
Junior Data Scientist
Bevertec
Toronto, ON
- Contract
Strong Python programming skills for data analysis and machine learning.
Added 53 mins ago
WT
Data Engineer
Wissen Technology
Montreal, QC
- Full-time
We are looking for a Data Engineer with strong backend engineering fundamentals and hands‑on experience building scalable, high‑performance data pipelines. The ideal candidate comes from a…
Added 53 mins ago
VT
AI Platform Developer
Volgo Technologies
Toronto, ON
- Contract
We are looking for an experienced AI Platform Developer with strong hands-on expertise in Google Cloud Platform (GCP), Generative AI, and Agentic AI application development.
Added 53 mins ago
V
Python Software Engineer
Varonis
Vancouver, BC · Greater Vancouver, BC
- Full-time
…critical data, removes exposures, and detects advanced threats with AI-powered…
Added 55 mins ago
Principal Cybersecurity Specialist, Incident Response
Questrade Financial Group
Toronto, ON
At QFG, we combine human-centric collaboration with AI-driven innovation to redefine financial services. The ideal candidate will be a catalyst for change, using AI to transform and deliver…
Added 55 mins ago
Senior Data Engineer
Scotiabank
Toronto, ON
Strong programming skills in Python, SQL, and familiarity with CI/CD pipelines for data platforms
Added 1 hour ago
SL
Data Engineer
Staffingine LLC
Toronto, ON
- Contract
We are looking for an experienced Data Engineer with strong hands-on expertise in Databricks, Azure database technologies, Oracle, and Python. The ideal candidate should have experience…
Added 1 hour ago
I
Data Scientist
isgSearch
Toronto, ON · Greater Toronto Area, Canada
- Contract
…varied data science techniques & offering advice/inputs to help with the design, development and implementation of analytics use…
Added 1 hour ago
LT
Data Engineer & Data Designer
Lorven Technologies Inc.
Toronto, ON
- Full-time
Work extensively with Databricks for data processing, transformation, and analytics.
Added 1 hour ago
G
Business Systems Developer
Grantek
Burlington, ON
- Full-time
…members. We are a team of dedicated Engineers and Designers with an average of 7 years’ tenure at Grantek. The vast majority of our employees have started off their careers at Grantek and…
Added 1 hour ago
Product Security Engineer
Asana
Vancouver, BC
Strong software engineering background with experience in languages like Python, Javascript/Typescript or Scala.
Added 1 hour ago
F
Technical Consultant (Data & AI)
Fastloop
Vancouver, BC
- Full-time
Backend: Advanced Python (FastAPI/Django). Familiarity with Document AI or unstructured data parsing is a plus.
Added 1 hour ago
W
Technical Consultant I, Water Engineer
Worley
Vancouver, BC
- Full-time
Assisting with the evaluation, design, and optimization of water and wastewater treatment systems and processes.
Added 1 hour ago
W
Technical Consultant I, Water Engineer
Worley
Calgary, AB
- Full-time
Assisting with the evaluation, design, and optimization of water and wastewater treatment systems and processes.
Added 1 hour ago
CS
GEN AI Specialist
Cynet Systems
Montreal, QC
- $50 to $55 CAD / hour
- Contract
Hands-on experience with Hugging Face, LangChain, LlamaIndex, and vLLM.
Added 1 hour ago
UT
AML Developer IV/Data Scientist #26-25738
US Tech Solutions
Markham, ON
- $90 to $95 CAD / hour
- Contract
Location: Hybrid - Toronto or Markham; 3 days in office and 2 days work from home, with potential to move to 4 days in office.
Added 1 hour ago
LS
Quality Assurance Engineer
LeverageTek Staffing Solutions
Canada
- Temporary
LeverageTek is actively seeking a Senior QA Automation Engineer (Azure Cloud) for a permanent full-time position with its Ottawa-based customer.
Added 1 hour ago
P
Workforce Intelligence Analyst
PTAG
Markham, ON
- Full-time
Experience with Python and/or R for data analysis, statistical modeling, automation, and predictive analytics.
Added 1 hour ago
A
Forward Deployed Engineer – AI, Data Engineering & MLOps / Toronto, ON (Onsite) - FTE
AceStack
Toronto, ON
- Full-time
We are seeking an experienced Forward Deployed Engineer with strong expertise in Python, PySpark, SQL, Claude, APIs, AI application development, and MLOps. The ideal candidate will work…

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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