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Added 12 mins ago
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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 12 mins ago
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Director Advanced Analytics and AI
CIBC
Toronto, ON
- Full-time
…done across the business. As the Director, AI Delivery, you'll lead the end-to-end delivery of a growing portfolio of AI and Generative AI initiatives, from opportunity identification and…
Added 12 mins ago
C
Solution Designer Generative AI Applications
CIBC
Toronto, ON
- Full-time
…functionality, infrastructure, interfaces and integrations. Lead the design of cost-effective and innovative solutions to meet both business objectives and the goal of operational…
Added 12 mins ago
BU
Education Instructor EDBE 8P78 Winter D23
Brock University
St. Catharines, ON · Main Campus (Employees)
- Part-time
Work collegially and collaborate/instruct with course team lead(s) and/or other instructors.
Added 12 mins ago
BU
Education Instructor EDBE 8P09 Winter D36
Brock University
Burlington, ON · St. Catharines, ON · Main Campus (Employees)
- Part-time
Work collegially and collaborate/instruct with course team lead(s) and/or other instructors.
Added 12 mins ago
BU
Education Instructor EDBE 8P71 Winter D23
Brock University
St. Catharines, ON · Main Campus (Employees)
- Part-time
Work collegially and collaborate/instruct with course team lead(s) and/or other instructors.
Added 26 mins ago
GV
Lead Power Systems Protection & Control Application Engineer (Part Time)
GE Vernova
Markham, ON
- Part-time
Join GE Vernova’s Grid Automation R&D team to spearhead the next generation of power system protection. As a Lead Application Engineer, you will bridge the gap between complex power system…
Added 26 mins ago
S
Media Sales Strategist – Toronto, ON
Stingray
Toronto, ON
- Full-time
Own the end-to-end sales process, from lead generation and prospecting to performing client needs analysis, presenting solutions, negotiating and execution of closing strategies;
Added 26 mins ago
NC
Media Sales Strategist – Toronto, ON
Newfoundland Capital Corporation Limited
Toronto, ON
- Full-time
Own the end-to-end sales process, from lead generation and prospecting to performing client needs analysis, presenting solutions, negotiating and execution of closing strategies;
Added 27 mins ago
TT
Loss Prevention Investigations Manager
The TJX Companies, Inc.
Mississauga, ON · CAN Home Office Mississauga ON
- $89,208 to $135,086.4 CAD / year
- Full-time
We’re looking for a Loss Prevention Investigations Manager - Internal to lead our Internal Investigations team across Western Canada and drive strategies that reduce loss, deter internal…
Added 27 mins ago
Senior Campaign Manager (20 Month Contract)
Varicent
Toronto, ON
Shape the Future: Lead in redefining revenue optimization.
Added 27 mins ago
Manufacturing Technician - Test
INNIO
Welland, ON
…operational efficiency. This role will report to Test Area Team…
Added 27 mins ago
VC
Staff Software Engineer
Valsoft Corporation
Remote, Canada
- Full-time
- Remote
Lead the modernization of legacy systems into maintainable, cloud-capable architectures without disrupting the business relying on them.
Added 27 mins ago
C
Maintenance Manager
Chartwell
North Vancouver, BC
- Full-time
Lead maintenance and housekeeping staff and participate in Health & Safety initiatives and Manager on Duty rotation
Added 27 mins ago
Innovation Manager
BWXT
Peterborough, ON
Define, manage and lead interfaces and scope between discipline specific design areas (mechanical, I&C and software).
Added 42 mins ago
Global Manager, Mechanical Design Manufacturing Solutions
ATS Automation
Cambridge, ON
Added 42 mins ago
B
Systems Administrator III
BonLook
New Westminster, BC · Delta, BC
- Full-time
Lead infrastructure projects from planning through implementation and operational handoff
Added 42 mins ago
Human Resources Business Partner
IAMGOLD
Gogama, ON
…shaping a resilient and high-performing workforce. They will lead initiatives that align people strategies with operational goals, proactively manage workforce-related risks, and implement…
Added 42 mins ago
S
Principal Strategic Account Manager, Bank of Montreal
SAS
Toronto, ON
- Other
Lead customer/account business development – identifying business needs and translating them to SAS capabilities to grow new opportunities innovatively, together with sales support…
Added 42 mins ago
GS
Business Development Manager
Grantek Systems Integration
Burlington, ON
- Full-time
Implement effective lead generation tactics, including market research, networking, and outreach.
Added 42 mins ago
GS
Electrical Engineer/Designer
Grantek Systems Integration
Burlington, ON
- Full-time
Create bidding and scope documentation; lead the development and write-up of user and system design functional specification documentation
Added 55 mins ago
C
Solution Designer Generative AI Applications
CIBC
Toronto, ON
- Full-time
…functionality, infrastructure, interfaces and integrations. Lead the design of cost-effective and innovative solutions to meet both business objectives and the goal of operational…
Added 55 mins ago
C
Director Advanced Analytics and AI
CIBC
Toronto, ON
- Full-time
…done across the business. As the Director, AI Delivery, you'll lead the end-to-end delivery of a growing portfolio of AI and Generative AI initiatives, from opportunity identification and…
Added 55 mins ago
PC
Project Manager - Building Science
Pinchin Canada
Victoria, BC
- Full-time
…service line in BC and on the island. In this role, you will lead and deliver a range of technical services including Property Condition Assessments (PCA), Depreciation Reports (DR)Building…
Added 55 mins ago
TC
Commercial Finance Business Partner
Takeda Canada Inc.
Toronto, ON
- Full-time
Lead planning, forecasting, and scenario modelling for business unit.

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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