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Added 1 hour ago
VC
Adobe Experience Manager (AEM), SRE - CDN and Edge Delivery
VK CONSULTING SERVICES
Canada
- Full-time
Participate in the shared on-call rotation as the platform’s subject-matter escalation, and lead incident management for customer-facing events
Added 1 hour ago
KG
Data & Analytics Solutions Architect- AI/ML
K&K Global Talent Solutions INC.
Toronto, ON
- Full-time
We are seeking an experienced Data & Analytics Solutions Architect to lead the design and implementation of modern enterprise data platforms, advanced analytics solutions, and AI-driven…
Added 1 hour ago
3T
Site Reliability Engineer
360 Technology
Toronto, ON
- Full-time
Participate in the shared on-call rotation as the platform’s subject-matter escalation, and lead incident management for customer-facing events
Added 1 hour ago
V
VP Customer Success / Vice-président(e), Succès client
Vention
Montreal, QC
- Full-time
…diverse perspectives and supports your growth through intentional development, strong leadership, and opportunities to make a real…
Added 1 hour ago
NC
Quantitative Developer
Nymbus Capital
Montreal, QC
- Full-time
Lead AI-native development: Evolve how the team works with AI coding agents (repository context, guardrails, automated testing and review workflows) to ship faster without lowering the bar.
Added 1 hour ago
M
Lead Full Stack Software Engineer
Manulife
Toronto, ON · Waterloo, ON
- Full-time
As a Lead Full Stack Software Engineer, you will provide technical leadership across the software development lifecycle, partnering with product owners, architects, and engineering teams to…
Added 1 hour ago
NC
Quantitative Developer
Nymbus Capital
Montreal, QC
- Full-time
Lead AI-native development: Evolve how the team works with AI coding agents (repository context, guardrails, automated testing and review workflows) to ship faster without lowering the bar.
Added 1 hour ago
TC
Data & Analytics Solutions Architect
Tata Consultancy Services
Toronto, ON · Greater Toronto Area, Canada
- $100,000 to $120,000 CAD / year
- Full-time
…is enabling its clients to transform themselves across the full AI stack, from infrastructure to…
Added 1 hour ago
TC
Data Governance Lead
Tata Consultancy Services
Toronto, ON · Greater Toronto Area, Canada
- $100,000 to $120,000 CAD / year
- Full-time
…is enabling its clients to transform themselves across the full AI stack, from infrastructure to…
Added 2 hours ago
ZS
Data & Analytics Solutions Architect
Zodiac Solutions, Inc
Toronto, ON
- Full-time
Proven experience in Enterprise Solution architecture using Open source technology stack across the Data to Insights end to end value chain.
Added 2 hours ago
TC
Data & Analytics Solutions Architect - Open Source
Tata Consultancy Services
Toronto, ON
- $110,000 to $130,000 CAD / year
- Full-time
…is enabling its clients to transform themselves across the full AI stack, from infrastructure to…
Added 2 hours ago
TC
Forward deployed Engineer
Tata Consultancy Services
Toronto, ON
- $100,000 to $120,000 CAD / year
- Full-time
…is enabling its clients to transform themselves across the full AI stack, from infrastructure to…
Added 2 hours ago
TC
Lead
Tata Consultancy Services
Toronto, ON
- $90,000 to $100,000 CAD / year
- Full-time
…is enabling its clients to transform themselves across the full AI stack, from infrastructure to…
Added 4 hours ago
TC
Data & Analytics Leader- Consulting/Managing Partner)
Tata Consultancy Services
Toronto, ON
- $110,000 to $130,000 CAD / year
- Full-time
…is enabling its clients to transform themselves across the full AI stack, from infrastructure to…
Added 4 hours ago
TC
Data & Analytics Solutions Architect - Hadoop
Tata Consultancy Services
Toronto, ON
- $110,000 to $130,000 CAD / year
- Full-time
…is enabling its clients to transform themselves across the full AI stack, from infrastructure to…
Added 4 hours ago
TI
Delivery Lead
Techpros IT Solutions Inc.
Toronto, ON
- Contract
Role Description The Delivery Lead is responsible for overseeing the planning, execution, and successful delivery of client projects across Salesforce, DevOps, and full stack development…
Added 15 hours ago
I
Software Engineer
Insight
Remote, Canada
- Full-time
- Remote
We are seeking a highly skilled and experienced Software Engineer to join Insight's Application Development department. This is a department role rather than a position on a single customer…
Added 16 hours ago
DI
Full Stack Developer – AI Python SQL Vue.js (1796) $75-80hr
Direct IT Recruiting Inc.
Toronto, ON
- $75 to $80 CAD / hour
- Contract
We are seeking a Senior Full Stack Developer with proven leadership in delivering complex AI solutions. This lead role requires hands-on experience with Generative AI, including…
Added 17 hours ago
GS
SENIOR BUSINESS DEVELOPMENT EXECUTIVE – RMC SOLUTIONS
Giatec Scientific Inc.
Ottawa, ON
- Full-time
We’re seeking a Senior Business Development Executive to join our RMC Solutions team as a hunter and technical discovery expert. This is a sophisticated, relationship-driven role that…
Added 18 hours ago
X
Lead Engineer - Payments Platform
Xero
Remote, Canada
- Full-time
- Remote
Xero Perks: Inside Xero Explore our full suite of benefits, from wellbeing initiatives to professional development.
Added 19 hours ago
C
Guidewire Technical Architect - InsuranceNow
Cognizant
Canada
- Full-time
…gap between AI investment and enterprise value by building full-stack AI solutions for our clients. Our deep industry, process and engineering expertise enables us to build an…
Added 21 hours ago
M
Hardware Lead, Tactile Gloves
Mecka
Richmond Hill, ON
- $200,000 to $225,000 USD / year
- Full-time
You can hold the full stack: design, suppliers, schedules, manufacturing tests, and quality - not just “PM work.”
Added 21 hours ago
R
Lead Developer (Full Stack - .NET, C#)
ReserveX
Calgary, AB
- Full-time
Strong expertise in .NET (C#) development and REST, Micro Service API's
Added 21 hours ago
M
Tactile Gloves Program Lead
Mecka
Richmond Hill, ON
- $200,000 to $225,000 USD / year
- Full-time
You can hold the full stack: design, suppliers, schedules, manufacturing tests, and quality - not just “PM work.”
Added 21 hours ago
AI
Associate Account Executive
Aareas Interactive Inc.
Toronto, ON · North York, ON
- Full-time
…senior sales team - learning our methodology, supporting the full sales cycle, and building toward running your own…

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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