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Added 5 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 7 mins ago
B
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 20 mins ago
RC
Open Liberty/WebSphere Liberty-Lead application modernization architect
Realtek Consulting LLC
Toronto, ON
- Contract
Required Skills: Open Liberty/WebSphere Liberty. Lead application modernization Java Rest web services~ Advanced Java Concepts~ Digital: Kubernetes ~IBM WebSphere
Added 22 mins ago
SL
Principal Software Engineer, MarTech Platforms & Digital Enablement
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Toronto Atria
- Full-time
Strong hands-on experience with: Java / Spring Boot / Python JavaScript / TypeScript APIs and Microservices Docker and Kubernetes
Added 22 mins ago
Dev Ops Engineer (Student Position)
The Canada Life Assurance Company
Toronto, ON
Programming & Scripting: Java, scripting languages, and automation tooling
Added 25 mins ago
RC
Senior software developer
Raenan Consultancy
Toronto, ON
- $80 to $85 CAD / hour
- Full-time
- Hybrid
Added 50 mins ago
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AI Engineer/Developer
W3Global
Toronto, ON
- $60,000 to $68,000 CAD / year
- Full-time
AI Developer (Generative AI / Machine Learning)
Added 50 mins ago
W
Ab-initio Data Engineer
W3Global
Mississauga, ON
- $100,000 to $125,000 CAD / year
- Full-time
Data lineage, application development, python or Java coding experience
Added 52 mins ago
SC
Senior Software Developer
SRC Can
Remote, Canada
- $10,000 to $135,000 CAD / year
- Full-time
- Remote
SRC CAN Ltd is seeking a Senior Software Developer to contribute to the design, development, and delivery of next-generation EW Operational Support Systems (EWOSS) including Intelligence…
Added 52 mins ago
SL
Principal Software Engineer, MarTech Platforms & Digital Enablement
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Toronto Atria
- Full-time
Strong hands-on experience with: Java / Spring Boot / Python JavaScript / TypeScript APIs and Microservices Docker and Kubernetes
Added 1 hour ago
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Software Engineer - II
FISPAN
Vancouver, BC
- Full-time
4+ years working with Java, well-versed with Java 17 and above.
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
A
Java/AI Software Engineer
Aptonet
Vancouver, BC
- Full-time
3+ years of experience developing applications with Java and Spring framework
Added 1 hour ago
P
Software Engineer
ProxyLink
Toronto, ON
- $80 to $90 CAD / hour
- Contract
ProxyLink is hiring an experienced Software Developer to design, develop, test, deploy, and troubleshoot enterprise-level applications using Java Enterprise technologies. The successful…
Added 1 hour ago
E
Quality Assurance Intern
Ericsson
Bas-Saint-Laurent, QC
- Full-time
Connaissances en programmation et scripting : Java, Python, Shell, etc.
Added 1 hour 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 2 hours ago
S
Technical Support Specialist
ShipTime
Oakville, ON
- $50,000 to $60,000 CAD / year
Familiarity with Java, JavaScript, HTML/CSS, or other programming languages.
Added 2 hours ago
BR
AEM Developer with React
BULLIT RECRUITMENT SOLUTIONS LIMITED
Toronto, ON
- Full-time
We are currently looking for a Digital Developer to work within our Digital Development team. The successful candidate will be a key member who will work with UX, UI, Business stakeholders…
Added 2 hours ago
M
RQ11718 - Software Developer - Intermediate
Maarut
Toronto, ON
- Contract
The Developer will be responsible for translating business requirements and technical system specifications into working, tested applications. This would involve doing analysis & design…
Added 2 hours ago
AS
Back End Developer
Ardent SoftSol Inc.
Brampton, ON
- Contract
Experience 8–12 years of overall IT experience with 5+ years of hands-on Senior Backend Developer with strong expertise in Java and Spring Boot, experienced in building and delivering…
Added 2 hours ago
GT
AML Developer
Global Technical Talent, an Inc. 5000 Company
Toronto, ON
- $85 to $103 CAD / hour
- Contract
Added 2 hours ago
UT
AML Developer IV/Data Scientist #26-25738
US Tech Solutions
Markham, ON
- $90 to $95 CAD / hour
- Contract
Our client is seeking a senior AML Data Scientist / Developer to conduct analytical activities supporting FCRM transaction monitoring systems.
Added 2 hours ago
HT
Industrial Software Validation
Husky Technologies
Bolton, ON
- Full-time
Proficiency in C#, Java, Python, and experience with .NET components
Added 2 hours ago
LS
Quality Assurance Engineer
LeverageTek Staffing Solutions
Canada
- Temporary
Proficiency in programming languages (C#, Python, or Java) and automation frameworks.
Added 2 hours ago
AI
Java Springboot Developer
Apptoza Inc.
Toronto, ON
- Contract
Role : Java Spring Boot Developer – Microservices

Tata Consultancy Services

Data & Analytics Solutions Architect - Open Source

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:

Senior years of experience in Enterprise Data Architecture, Open-Source Data Platforms, Distributed Data Processing, and Data Engineering.
Proven experience in Enterprise Solution architecture using Open source technology stack across the Data to Insights end to end value chain.
Strong hands-on expertise in Apache Spark, PySpark, Kafka, Flink, Airflow, NiFi, Trino, SQL, Python, Scala, and Java.
Proven experience in designing and implementing open-source data platform architectures, including component selection, integration, scalability, interoperability, and platform modernization.
Deep understanding of batch, streaming, and real-time data processing architectures, including performance tuning, workload optimization, and failure recovery.
Experience building modern Data Lakehouse architectures using Apache Iceberg, Hudi, Delta Lake, object storage, and open table formats.
Strong knowledge of event-driven architectures, CDC, APIs, schema management, and enterprise integration patterns.
Expertise in DataOps practices, including Airflow orchestration, CI/CD, automated testing, observability, metadata management, lineage, and platform operations.
Experience with PostgreSQL, Cassandra, MongoDB, OpenSearch, and enterprise analytics platforms, including data modeling, indexing, workload management, and availability design.
Strong understanding of security, governance, and compliance, including RBAC, identity management, encryption, privacy controls, auditability, metadata governance, and vulnerability management.
Proven ability to lead architecture definition, HLD/LLD creation, NFR assessment, migration planning, technical governance, and production readiness activities.
Experience supporting large-scale data platform modernization, cloud migration, solutioning, RFP responses, effort estimation, and client-facing architecture discussions.
Good understanding of BFSI regulatory, security, resilience, privacy, and operational requirements.
Bachelor’s degree in computer science, Engineering, Information Systems, Data Management, or a related discipline.
Preferred certifications in Cloud Data Engineering, Kubernetes, Enterprise Architecture, Data Management, Security, DevOps, or Open-Source Data Platforms.
Experience assessing business use cases and selecting the appropriate approach across BI/KPI reporting, rules, statistical methods, forecasting, machine learning, and GenAI, with clear baselines, acceptance criteria, and measurable business KPIs.
Understanding of AI/ML platform architecture supporting feature engineering, model training, batch and real-time inference, and integration of ML and GenAI workloads with enterprise open-source data platforms.
Understanding of MLOps and LLMOps capabilities, including experiment tracking, model registry, feature stores, pipeline orchestration, automated quality gates, and versioning of data, models, and prompts using tools such as MLflow and Kubeflow.
Exposure to AI observability and monitoring for data drift, model drift, LLM quality, tracing, latency, availability, alerting, and operational runbooks.

Roles and Responsibilities:

Engage with business and technology stakeholders to understand data strategy, platform requirements, architecture goals, and transformation priorities.
Design and define end-to-end architecture for enterprise open-source data platforms supporting batch, streaming, analytics, and AI workloads.
Lead modernization initiatives covering data lakes, lake house platforms, distributed processing frameworks, and enterprise data ecosystems.
Architect scalable, secure, highly available, and resilient data platforms using open-source technologies and industry best practices.
Design data ingestion, integration, streaming, storage, and consumption patterns using technologies such as Spark, Kafka, Flink, NiFi, and Trino.
Establish data governance, security, metadata, lineage, privacy, and observability standards across the platform landscape.
Evaluate and recommend open-source technologies based on business requirements, scalability, supportability, interoperability, and total cost of ownership.
Define architecture standards, reference architectures, reusable frameworks, CI/CD practices, and DataOps operating models.
Provide technical leadership across data modeling, data engineering, platform implementation, migration, testing, deployment, and production readiness activities.
Drive platform performance optimization, capacity planning, reliability engineering, and operational excellence initiatives.
Conduct architecture reviews, identify risks early, and guide delivery teams on mitigation strategies and best practices.
Support solutioning, RFP responses, effort estimation, technical presentations, and client workshops for strategic opportunities.
Collaborate with engineering teams, platform vendors, open-source communities, and client stakeholders to deliver scalable and sustainable solutions.
Mentor architects and engineers, contribute to technical capability development, and establish reusable accelerators, playbooks, and best practices.
Support hiring, technical assessments, and knowledge-sharing initiatives across Data Engineering, Open-Source Platforms, and Modern Data Architecture.
Assess candidate use cases with business, technology, data, and risk stakeholders; recommend BI, rules, analytics, ML, or GenAI based on feasibility, risk, cost, and measurable business outcomes.
Integrate data, ML, and GenAI reference architectures covering data sources, feature pipelines, models or LLMs, vector stores, serving layers, consuming applications, and enterprise integration points.
Partner with platform and operations teams to productionize AI ML and LLM workloads on Kubernetes.

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

Design and lead end-to-end open-source data platform architectures for batch, streaming, analytics, and AI workloads, including modernization, integration, governance, security, and operational readiness. Provide technical leadership to delivery teams and stakeholders, guide technology selection and performance improvements, and support solutioning, client engagements, mentoring, and productionization of AI and LLM workloads.

Requirements

Requires extensive experience in enterprise data architecture, open-source platforms, distributed processing, and data engineering, with hands-on expertise in the listed data technologies and programming languages. A bachelor’s degree in a relevant discipline is required; preferred qualifications include relevant certifications and experience with AI/ML, MLOps, LLMOps, cloud migration, and BFSI requirements.

Skills

Enterprise Data Architecture
Open-Source Data Platforms
Apache Spark
PySpark
Kafka
Flink
Airflow
NiFi
Trino
SQL
Python
Scala
Java
Data Lakehouse Architecture
DataOps
AI/ML and GenAI Architecture

Visa sponsorship

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Keywords

Enterprise Data Architecture
Open-Source Data Platforms
Distributed Data Processing
Data Engineering
Apache Spark
PySpark
Kafka
Flink
Airflow
NiFi
Trino
SQL
Python
Scala
Java
Apache Iceberg
Hudi
Delta Lake
Data Lakehouse
PostgreSQL
Cassandra
MongoDB
OpenSearch
DataOps
CI/CD
Kubernetes
MLflow
Kubeflow
MLOps
LLMOps

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