Jobs in Canada

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Added 1 month ago
A
Cloud Architect
Akkodis
Ottawa, ON
- Contract
Mandatory Experience Required/Must Haves:
Added 1 month ago
ES
Core Java Dev + Etrade
Epsilon Solutions Ltd.
Toronto, ON
- Contract
We are seeking a highly skilled Senior Java Developer with AI experience to join the FIC Global Spread Products eTrading Technology team. The successful candidate will contribute to the…
Added 1 month ago
Consultant Specialist, Collateral Treasury
HSBC Global Services Limited
Toronto, ON
Deliver software using Agile practices and apply DevOps principles and toolchains
Added 1 month ago
Agentic AI Architect, Kitchener, ON ( Hybrid)
Siemens
Kitchener, ON
Collaborate with DevOps on CI/CD, deployment automation, and cloud/on-prem infrastructure design
Added 1 month ago
CL
Senior Cloud DevOps Engineer
Charger Logistics Inc.
Brampton, ON
- Full-time
The Senior Cloud DevOps Engineer will design and implement enterprise-scale cloud infrastructure, drive automation strategies, and mentor engineering teams while architecting…
Added 1 month ago
WT
Data Engineer
Wissen Technology
Montreal, QC
- Full-time
Mode of Work: Onsite 3-4 days per week
Added 1 month ago
Senior Data Engineer
Scotiabank
Toronto, ON
Familiarity with DevOps/DataOps practices and tooling
Added 1 month ago
F
Technical Consultant (Data & AI)
Fastloop
Vancouver, BC
- Full-time
Cloud & DevOps: Mastery of GCP (Cloud Run, GKE, Pub/Sub, IAM). Strong proficiency in Terraform and GitHub Actions. Experience with Event-driven architecture (Pub/Sub, Eventarc) and Workflow…
Added 1 month ago
TC
Data & Analytics Solutions Architect - Open Source
Tata Consultancy Services
Toronto, ON
- $110,000 to $130,000 CAD / year
- Full-time
Preferred certifications in Cloud Data Engineering, Kubernetes, Enterprise Architecture, Data Management, Security, DevOps, or Open-Source Data Platforms.
Added 1 month ago
RT
Senior Data Architect
Ripotek Technologies Inc.
Calgary, AB
- Full-time
Added 1 month ago
RT
Azure Solutions Consultant
Ripotek Technologies Inc.
Calgary, AB
- Full-time
Implement CI/CD pipelines for data workflows using Azure DevOps
Added 1 month ago
AI
Full Stack Developer - .NET (Intermediate)
Avant Imaging & Information Management, Inc.
Toronto, ON · Scarborough, ON
- Full-time
Reporting to the VP, Solutions & Delivery, we are looking for a talented and motivated Full Stack Developer – .NET to join our development team. The ideal candidate will have strong…
Added 1 month ago
B
Intern, Supply Chain (Data Insights and Profitability), (Winter 2027)
Bombardier
Dorval, QC
- Volunteer
You are able to work onsite at the designated Montreal office location, at least two (2) days per week, sometimes more, as per the applicable policy
Added 1 month ago
GM
Senior Data Engineering, Vehicle Data Operations
General Motors
Markham, ON · Oshawa, ON
- Full-time
This means the successful candidate is expected to report to the office three days per week, at minimum
Added 1 month ago
M
Technical Architect- AI
Mphasis
Toronto, ON
- Full-time
Work Mode: Hybrid, 3-4 days per week
Added 1 month ago
I
Senior Systems Engineer
illumin
Toronto, ON · Greater Toronto Area, Canada
- $100,000 to $150,000 CAD / year
- Full-time
This is a full-time, hybrid position, working in our Toronto office three days per week
Added 1 month ago
AS
Cloud DevOps Engineer – Health
Alquemy Search & Consulting
Vancouver, BC
- Full-time
We are seeking a Cloud DevOps Engineer to join the Health Team. This role will focus on provisioning and maintaining Azure infrastructure, supporting Kubernetes-based applications, and…
Added 1 month ago
R&
Senior Azure DevOps / AI Platform DevOps
Robertson & Company Ltd.
Ottawa, ON
- Contract
Must have expertise in AI workflow (experience supporting AI/ML or Agentic AI workloads in production)
Added 1 month ago
A
Manager, Software Engineering
AltaML
Toronto, ON
- Full-time
Lead or actively participate in cross-pod technical guilds (e.g., Frontend, AI/ML, DevOps)
Added 1 month ago
Digital Architect
Government of Alberta
Edmonton, AB
Within DDD, the Software Delivery Branch provides architectural leadership, CloudOps, DevOps/QA practices, quality engineering, and software delivery excellence across product and platform…
Added 1 month ago
Q
Sr Staff/Principal DevOps Engineer, Machine Learning Infrastructure and Performance
Qualcomm
Markham, ON
- Full-time
Added 1 month ago
PO
Machine Learning Developer
P&P Optica
Waterloo, ON
- $115,000 to $120,000 CAD / year
- Full-time
We are looking for a rigorous, delivery-focused Machine Learning Developer with 3 or more years of experience who thrives at the intersection of software development and machine learning…
Added 1 month ago
OS
Senior Forward Deployed Engineer (FDE)
Open Systems Technologies
Toronto, ON
- Contract
8+ years of professional software engineering experience, with demonstrable experience as a Full-Stack Developer transitioning into an FDE-style, customer-facing delivery role.
Added 1 month ago
DT
UNPAID VOLUNTEER - Chief Technology Officer (CTO)
Digital Technology Institute for Development (DTID)
Remote, Canada
- Part-time
- Remote
Added 1 month ago
ET
Senior Data Architect
Encore Technical Solutions Inc.
Toronto, ON · Greater Toronto Area, Canada
- Contract
Experience with Azure DevOps CI/CD and Infrastructure as Code (Bicep) for data platform deployments, plus PowerShell scripting

Tata Consultancy Services

Data & Analytics Solutions Architect - Open Source

Toronto, ON, Canada

$110,000 to $130,000 CAD / year · Full-time

Apply on LinkedIn About employer

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Job details

Pay: $110,000 to $130,000 CAD / year
Job type: Full-time
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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Jobs in Canada