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Added 27 mins ago
RC
Open Liberty/WebSphere Liberty-Lead application modernization architect
Realtek Consulting LLC
Toronto, ON
- Contract
Job Title: Open Liberty/WebSphere Liberty. Lead application modernization architect
Added 27 mins ago
ME
Manager 3D CADD & Revit Implementation
Morson Edge (Canada)
Toronto, ON · North York, ON
- $65 to $85 CAD / hour
- Contract
…rehabilitation, operation and maintenance of facilities, systems and…
Added 29 mins ago
Specialist Systems, IT
City of Mississauga
Mississauga, ON
…to implement DevOps strategies and automate applications and infrastructure across on-premise and cloud environments. You will be responsible for understanding requirements and designing,…
Added 57 mins ago
CO
Specialist Systems, IT
City of Mississauga
Mississauga, ON
- Full-time
…to implement DevOps strategies and automate applications and infrastructure across on-premise and cloud environments. You will be responsible for understanding requirements and designing,…
Added 1 hour ago
A
Senior Data Engineer - Temporary
ARC'TERYX
North Vancouver, BC
- Full-time
…critical business decisions across the organization. You'll architect scalable data solutions, optimize performance of data systems, and be a technical leader who mentors other…
Added 1 hour ago
CL
Finance & ERP Manager
Caledon Laboratories Ltd
Georgetown, ON
- $110,000 to $125,000 CAD / year
- Full-time
…operational cost variances, audit margins, and optimize our Odoo infrastructure to support secure, scalable business…
Added 1 hour ago
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Systems Administrator III
BonLook
New Westminster, BC · Delta, BC
- Full-time
Join our team as a System Administrator III, Enterprise Infrastructure! In this role you’ll oversee the timely and budget-conscious deployment of enterprise systems and software platforms.…
Added 1 hour ago
A
AI Architect / Toronto, ON (Hybrid) - FTE
AceStack
Toronto, ON
- Full-time
Architect enterprise AI solutions integrating foundation models, RAG pipelines, agent orchestration, vector databases, enterprise data sources, APIs, cloud infrastructure, and…
Added 1 hour ago
VT
AI Platform Developer
Volgo Technologies
Toronto, ON
- Contract
Architect scalable AI platforms and reusable components for enterprise AI applications.
Added 1 hour ago
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Python Software Engineer
Varonis
Vancouver, BC · Greater Vancouver, BC
- Full-time
Proven ability to architect systems, make sound technical decisions, and implement best practices.
Added 2 hours ago
Technical Architect Contracts (Computer Services Officer 4)
The Government of Nova Scotia
Halifax, NS
Reporting to the Manager, IT Assets, Finance and Procurement, as the Technical Architect Contracts, you will be responsible to manage the financial viability and sustainability of our…
Added 2 hours ago
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Technical Consultant (Data & AI)
Fastloop
Vancouver, BC
- Full-time
Infrastructure as Code (IaC): Architect and deploy end-to-end GenAI infrastructure (Vertex AI, Cloud Run, Cloud SQL) entirely through Terraform.
Added 2 hours ago
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Forward Deployed Engineer – AI, Data Engineering & MLOps / Toronto, ON (Onsite) - FTE
AceStack
Toronto, ON
- Full-time
Cloud & Platform Engineering: Experience with cloud data platforms, Docker, Kubernetes, Airflow, Git, distributed computing, and infrastructure automation.
Added 2 hours ago
O
Conseiller(ère) en architecture de sécurité
Onepoint
Montreal, QC
- Full-time
Wepoint is the architect of major transformations for businesses and public sector organizations.
Added 2 hours ago
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Conseiller(ère) en architecture de sécurité
Wepoint
Montreal, QC
- Full-time
Wepoint is the architect of major transformations for businesses and public sector organizations.
Added 2 hours ago
T
PLM Solution Architect - DELMIA/3DEXPERIENCE
Techso
Montreal, QC
- Full-time
…consulting services in three niches of expertise: technology infrastructure management (IT), specific application development (DEV), and product lifecycle management…
Added 2 hours ago
AC
Senior System Architect
Amphenol Communications Solutions
Markham, ON
- Full-time
The Senior System Architect is the senior technical authority responsible for the architecture, governance, integration, security, resilience, and lifecycle management of the company’s…
Added 2 hours ago
AC
Senior System Administrator
Amphenol Communications Solutions
Markham, ON
- Full-time
Experience: 8 to 10 years of progressive experience in system administration and IT infrastructure, including at least 3 years in a senior, lead, or architect role and demonstrated…
Added 2 hours ago
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Full Stack Architect - MDM/Customer 360
TD
Toronto, ON
- Full-time
…create the overall design of software (including applications, infrastructure, middleware) and guide how the sub-components are developed by different…
Added 3 hours ago
M
Lead Full Stack Software Engineer
Manulife
Toronto, ON · Waterloo, ON
- Full-time
Architect and build scalable cloud-native solutions on Microsoft Azure, leveraging services such as AKS, App Service, Azure SQL, and Service Bus.
Added 3 hours ago
RC
Lead Application Modernization Architect – Open Liberty
Realtek Consulting LLC
Toronto, ON
- Full-time
We’re Hiring | Lead Application Modernization Architect – Open Liberty
Added 3 hours ago
TC
Data & Analytics Solutions Architect
Tata Consultancy Services
Toronto, ON · Greater Toronto Area, Canada
- $100,000 to $120,000 CAD / year
- Full-time
…clients to transform themselves across the full AI stack, from infrastructure to…
Added 3 hours ago
BI
Network Security Engineer With Palo Alto firewall Experience
BURGEON IT SERVICES
Calgary, AB
- Contract
Hands-on experience in executing infrastructure implementations, migrations, cutovers, validation, and rollback through formal change management processes.
Added 3 hours ago
TC
Data & Analytics Solutions Architect - Open Source
Tata Consultancy Services
Toronto, ON
- $110,000 to $130,000 CAD / year
- Full-time
…clients to transform themselves across the full AI stack, from infrastructure to…
Added 3 hours ago
TC
Forward deployed Engineer
Tata Consultancy Services
Toronto, ON · Greater Toronto Area, Canada
- $100,000 to $120,000 CAD / year
- Full-time
…clients to transform themselves across the full AI stack, from infrastructure to…

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

Not detected in the job text

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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