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Added 6 hours ago
Analyste de Support à la Production / Production Support Analyst
mthree
Montreal, QC
…Bash et Python, ainsi que de langages compilés tels que C, C#, Java, Scala et Go, est particulièrement pertinente, bien que d’autres langages soient également…
Added 6 hours ago
AI Platform Software Engineer
Scotiabank
Toronto, ON
Strong programming skills in Python, Java, Scala, or a similar language, with a focus on clean, testable, maintainable code.
Added 6 hours ago
Senior AI Platform Software Engineer
Scotiabank
Toronto, ON
Advanced programming skills in Python, Java, Scala, Go, or a similar language, with a strong record of producing clean, testable, maintainable, and secure code.
Added 6 hours ago
C
Big Data Developer
Cognizant
Toronto, ON
- $53,000 to $108,000 CAD / year
- Full-time
Experience developing applications and APIs using Scala or Java.
Added 7 hours ago
G
Gen AI Developer
Galent
Halifax, NS
- Contract
Proficiency in SQL and distributed computing (Spark, distributed systems)
Added 7 hours ago
AI Full Stack Engineer
Scotiabank
Toronto, ON
Strong programming skills in Python, Java, Scala, or a similar language, with a focus on clean, testable, maintainable code.
Added 1 day ago
GS
Full Stack Software Developer
Gala Solutions
Montreal, QC
- Contract
5+ years of hands-on software development experience in the Java ecosystem.
Added 2 days ago
ZS
Data & Analytics Solutions Architect
Zodiac Solutions, Inc
Toronto, ON
- Full-time
Strong hands-on expertise in Hadoop, HDFS, YARN, Hive, Spark, PySpark, Kafka, SQL, Python, Java, and Scala.
Added 2 days ago
BI
Enterprise Data Architect
BULL INFORMATION SYSTEMS LIMITED
Toronto, ON
- Full-time
Strong hands-on expertise in Hadoop, HDFS, YARN, Hive, Spark, PySpark, Kafka, SQL, Python, Java, and Scala.
Added 6 days ago
KG
Principal Data Solutions Architect- AI/ML
K&K Global Talent Solutions INC.
Toronto, ON
- Full-time
Strong hands-on expertise in Apache Spark, PySpark, Kafka, Flink, Airflow, NiFi, Trino, SQL, Python, Scala, and Java.
Added 6 days ago
A
Staff Software Engineer - Open Source Data Platform (ODP)
Acceldata
Kitchener, ON
- Full-time
Expert-level proficiency in Java or Scala, with strong Python skills. Experience with systems languages is a plus.
Added 6 days ago
WT
Data Engineer
Wissen Technology
Montreal, QC
- Full-time
…high‑performance data pipelines. The ideal candidate comes from a Java or Python backend background and has worked extensively with Apache Spark. Experience with Scala is a plus but not…
Added 6 days ago
TC
Data & Analytics Solutions Architect - Open Source
Tata Consultancy Services
Toronto, ON
- $110,000 to $130,000 CAD / year
- Full-time
Strong hands-on expertise in Apache Spark, PySpark, Kafka, Flink, Airflow, NiFi, Trino, SQL, Python, Scala, and Java.
Added 6 days ago
TC
Data & Analytics Solutions Architect - Hadoop
Tata Consultancy Services
Toronto, ON
- $110,000 to $130,000 CAD / year
- Full-time
Strong hands-on expertise in Hadoop, HDFS, YARN, Hive, Spark, PySpark, Kafka, SQL, Python, Java, and Scala.
Added 6 days ago
A
Principal Engineer - Open Source Data Platform (ODP)
Acceldata
Kitchener, ON
- Full-time
Expert-level proficiency in Java or Scala; strong skills in Python and systems languages.
Added 7 days ago
PF
Data Engineer 1
Pattison Food Group
Langley (District), BC · Langley Office - Langley BC
- Full-time
Expertise in Python and Spark. Experience in other programming languages such as Java, Scala, or C++ is a plus
Added 7 days ago
TC
Data & Analytics Solutions Architect
Tata Consultancy Services
Toronto, ON
- $110,000 to $130,000 CAD / year
- Full-time
Strong hands-on expertise in Hadoop, HDFS, YARN, Hive, Spark, PySpark, Kafka, SQL, Python, Java, and Scala.
Added 7 days ago
AS
Full Stack Software Developer
Axelon Services Corporation
Montreal, QC
- $65.52 USD / hour
- Other
Minimum 5 years of hands-on software development experience in the Java ecosystem.
Added 7 days ago
B
Tech Lead - Application Development JAVA N 4C
BrightClaim
Montreal, QC
- Full-time
Agile Methodology, Apache Kafka, Java APIs, Java Database Connectivity (JDBC), Scala (Programming Language), Spark ML
Added 8 days ago
MS
Consultant Conversion - Software Eng III : Job Level - Director
Morgan Stanley
Montreal, QC
- Full-time
Develop backend services and data processing capabilities using Java, Scala, and Apache Spark.
Added 9 days ago
C
Senior Quantexa Developer
CGI
Toronto, ON
- Full-time
Develop and optimize large-scale data-processing solutions using Spark/Scala or Java and SQL.
Added 9 days ago
C
Stagiaire - Spécialiste de données-EN
CAE
Montreal, QC
- Full-time
Expérience de travail avec les données, le codage et la création de scripts (Python/Java/Scala/SQL/JS/Bash), et avec les services cloud Microsoft : Azure, Databrick, etc. est un atout.
Added 10 days ago
IF
Senior Data Developer
Intact FC
Montreal, QC
- Full-time
We are looking for a Senior Data Developer (Engineer) to help establish the data foundation for Contact Distributor, Intact’s new platform for broker and distributor master data. The…
Added 19 days ago
Software Development Engineer II, Omnichannel Metrics (OCM) - Measurement, Ad Tech, and Data Science (MADS)
Amazon
Toronto, ON
…distributed data pipelines processing billions of events in Spark/EMR, and build the AI-powered features that transform OCM from a reporting tool into an autonomous measurement platform.…
Added 19 days ago
I
Data Engineer Sr
Insight
Toronto, ON
- Full-time
Experience developing data solutions using Python, Scala, Java, or similar programming languages.

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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