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Added 11 mins ago
S
Application Developer
Systematix
Toronto, ON
- Contract
We are Systematix and we are currently seeking an intermediate level Developer with expertise in either Java or Python, or both, for one of our Financial Services clients. This role is…
Added 13 mins ago
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Java API Developer
BMO
Toronto, ON · BMOPLACE
- Full-time
3+ years experience as a Java developer and API developer, following SDLC and enterprise methodologies for clean secure code (By the book)
Added 26 mins ago
R
Staff Data Scientist, AI Evaluations Platform- EN
RBC
Montreal, QC
- Full-time
Strong technical foundation in data science, statistics, machine learning, experimentation, data curation, Python, SQL, and modern AI/ML development practices.
Added 26 mins ago
IW
Business Systems Analyst & Developer - Data, AI & Agentic Automation
Innotech Windows + Doors
Langley (District), BC · Langley, BC
- Full-time
The Business Systems Analyst & Developer turns business needs into practical data, automation, and AI solutions, and builds them to production standards. The role combines business…
Added 28 mins ago
Senior Manager, Data Initiatives
Scotiabank
Toronto, ON
5 + years of experience with data management tools and various query and processing languages (SQL, Python, ETL)
Added 28 mins ago
O
Conseiller(ère) en ingénierie de données sénior
Onepoint
Montreal, QC · Quebec, QC
- Full-time
Excellente maîtrise des langages T-SQL, M, R, JSON, Python, DAX et dans la gestion de conteneurs avec Docker et Kubernetes;
Added 28 mins ago
W
Conseiller(ère) en ingénierie de données sénior
Wepoint
Montreal, QC · Quebec, QC
- Full-time
Excellente maîtrise des langages T-SQL, M, R, JSON, Python, DAX et dans la gestion de conteneurs avec Docker et Kubernetes;
Added 31 mins ago
RC
Senior software developer
Raenan Consultancy
Toronto, ON
- $80 to $85 CAD / hour
- Full-time
- Hybrid
Work must be completed both in person and remotely.
Added 43 mins ago
M
Software Developer, Robotic Data & Deliveries
Mecka
Richmond Hill, ON
- $150,000 to $200,000 USD / year
- Full-time
We are hiring a Software Developer to build - end to end - the internal products and tooling that turn Mecka’s ego-data pipeline into fast, reliable, at-spec dataset deliveries to frontier…
Added 56 mins ago
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AI Engineer/Developer
W3Global
Toronto, ON
- $60,000 to $68,000 CAD / year
- Full-time
Develop AI-powered applications using Python, LangChain, vector databases, and cloud services.
Added 56 mins ago
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Ab-initio Data Engineer
W3Global
Mississauga, ON
- $100,000 to $125,000 CAD / year
- Full-time
Strong understanding of Data Lineage, metadata management and reference data development and data analytics.
Added 57 mins ago
T
Senior Business Program Analyst
TD
Toronto, ON
- Full-time
Experience with Python, SQL, or similar tools to analyze and manage large datasets (strong asset/nice to have).
Added 1 hour ago
A
Senior Data Engineer - Temporary
ARC'TERYX
North Vancouver, BC
- Full-time
You have advanced SQL and Python skills, with hands-on experience in large-scale ETL/ELT, data lakes, and NoSQL databases (Cosmos DB)
Added 1 hour 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 1 hour ago
VC
Staff Software Engineer
Valsoft Corporation
Remote, Canada
- Full-time
- Remote
Backend: polyglot services, primarily .NET and Python, built as event-driven microservices.
Added 1 hour ago
GS
Business Systems Developer
Grantek Systems Integration
Burlington, ON
- Full-time
Grantek is looking for a Business Systems Developer to design, build, and maintain the internal applications, integrations, and automation workflows that support our global operations. This…
Added 1 hour 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 1 hour ago
B
Junior Data Scientist
Bevertec
Toronto, ON
- Contract
Strong Python programming skills for data analysis and machine learning.
Added 1 hour 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 1 hour 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 1 hour ago
L
QA Engineer
Luxoft
Toronto, ON
- Contract
SQL proficiency for data validation, test data setup, and backend verification
Added 1 hour 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
Data Engineer
MCAP
Waterloo, ON · Toronto, ON
Create and optimize complex SQL queries for data analysis and reporting.
Added 2 hours ago
SL
Data Engineer
Staffingine LLC
Toronto, ON
- Contract
Develop and maintain data workflows using Python and SQL.
Added 2 hours ago
I
Data Scientist
isgSearch
Toronto, ON · Greater Toronto Area, Canada
- Contract
· Proficient in Python for data science and GenAI application development

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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