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Added 22 days ago
Specialist Systems, IT
City of Mississauga
Mississauga, ON
Provide technical guidance, training and knowledge transfer to staff and project teams.
Added 22 days ago
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Architect | Data Centers
Corgan
Toronto, ON
- $85,000 to $110,000 CAD / year
- Other
Corgan is actively recruiting a dynamic Architect to join the firm as part of our Data Center team. Tackle these responsibilities alongside a team of creative, highly motivated individuals…
Added 22 days ago
CO
Specialist Systems, IT
City of Mississauga
Mississauga, ON
- Full-time
Provide technical guidance, training and knowledge transfer to staff and project teams.
Added 22 days ago
G
Architecte en information commerciale / Business Information Architect
Genetec
Montreal, QC
- Full-time
Added 22 days ago
Employee Experience Coordinator
Phantom Screens
Abbotsford, BC
SOP Architect – Help build and maintain the playbooks that keep the department running smoothly.
Added 22 days ago
M
Data Valuation Analyst
Maarut
Montreal, QC
- Contract
architect and developers: understanding source data, specifying the rules to
Added 22 days ago
RB
Director, SAP APFA Platform Lead
Royal Bank of Canada
Halifax, NS
- Full-time
…are treated with respect and dignity. Partner with the SAP Architect and Global SAP Lead to ensure alignment between functional design and technical…
Added 22 days ago
PC
Project Engineer
Pattillo Construction Corporation
Montreal, QC · Urban agglomeration of Montreal, QC
- Volunteer
Attends and participates in meetings with Architect/Engineer and owner representatives, provides information and assists the Project Manager in the preparation of progress reports/meeting…
Added 22 days 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 22 days ago
SS
Director of Communications & Safety Strategy - Bilingual (French/ English)
Summit Search Group
Toronto, ON
- $120,000 to $155,000 CAD / year
- Full-time
They are the architect of a cohesive, bilingual national voice - one that cuts through confusion, elevates battery safety as a public priority, and positions the organization as the…
Added 22 days 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 22 days 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 22 days ago
AC
Senior System Administrator
Amphenol Communications Solutions
Markham, ON
- Full-time
…build team capability through coaching, knowledge sharing, and…
Added 22 days ago
T
Full Stack Architect - MDM/Customer 360
TD
Toronto, ON
- Full-time
Collaborates with Practices, actively driving capability creation; mentoring and training junior colleagues to be adaptive, staying on top of expanding technologies and engineering trends…
Added 22 days 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 22 days ago
TC
Project Manager | Construction
Turner Construction | Canada
Toronto, ON
- Full-time
Chair Owner Architect and Consultant (OAC) meetings.
Added 22 days ago
TC
Data & Analytics Solutions Architect - Open Source
Tata Consultancy Services
Toronto, ON
- $110,000 to $130,000 CAD / year
- Full-time
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…
Added 22 days ago
DD
Facilities Project Manager
DRPS- Durham Regional Police Service
Whitby, ON
- Full-time
Professional Development & Growth - Access opportunities for training, professional development, and specialized career pathways to help you excel.
Added 22 days ago
LC
Senior Engineer, Application Security
Lightspeed Commerce, Inc.
Remote, Canada
- Full-time
- Remote
Architect high-impact feature and infrastructure threat models, validating and enhancing advanced AI-generated threat modeling pipelines.
Added 23 days ago
T
Event Planning Lead
Techo-Bloc
Longueuil, QC · Saint-Hubert, QC
- Full-time
As our Event Planning Lead, you're the architect behind Techo-Bloc's roadshows, loyalty events and trade shows across Canada and the U.S. While our execution team brings each event to life…
Added 23 days ago
O
Senior Organizational Change Management Specialist – AI Transformation
Onepoint
Ottawa, ON · Montreal, QC
- Full-time
Wepoint is the architect of major transformations for businesses and public sector organizations.
Added 23 days ago
W
Senior Organizational Change Management Specialist – AI Transformation
Wepoint
Ottawa, ON · Montreal, QC
- Full-time
Wepoint is the architect of major transformations for businesses and public sector organizations.
Added 23 days ago
OC
Accounting Analyst/Consultant
OERP Canada
Toronto, ON
- Full-time
Develop comprehensive financial user manuals and deliver expert-led training sessions for Controllers and CFOs.
Added 23 days ago
Landscape Designer
City of Vancouver
Vancouver, BC
Assists the Landscape Architect, Senior Project Manager or their designate on project inspections and scheduling and reports on discrepancies.
Added 23 days ago
RT
Senior Data Architect
Ripotek Technologies Inc.
Calgary, AB
- Full-time
As a Senior Data Architect, you'll lead the design and implementation of modern data platforms for enterprise clients across Energy, Financial Services, and Public Sector. You'll work…

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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