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Added 4 mins ago
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AI Architect / Toronto, ON (Hybrid) - FTE
AceStack
Toronto, ON
- Full-time
We are seeking an experienced AI Architect to lead the design, development, and implementation of enterprise-scale AI, Generative AI, Machine Learning, RAG, and Agentic AI solutions. The…
Added 4 mins ago
VT
AI Platform Developer
Volgo Technologies
Toronto, ON
- Contract
Architect scalable AI platforms and reusable components for enterprise AI applications.
Added 4 mins ago
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Python Software Engineer
Varonis
Vancouver, BC · Greater Vancouver, BC
- Full-time
Design and implement solutions informed by modern security architectures such as firewalls and API gateways.
Added 21 mins ago
VI
Senior Microsoft Dynamics CRM Developer
Veriday Inc.
Toronto, ON
- Contract
Lead the technical design of Dynamics CRM solutions, including application architecture, data models, integrations, security, and deployment approaches.
Added 36 mins ago
Technical Architect Contracts (Computer Services Officer 4)
The Government of Nova Scotia
Halifax, NS
Department: Cyber Security & Digital Solutions
Added 49 mins ago
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AI Solutions Architect
Hays
Toronto, ON
- Contract
The AI Solution Architect is a senior individual contributor within the Solutions Architecture team, responsible for designing, documenting, and delivering solution-level architecture for…
Added 49 mins ago
A
Forward Deployed Engineer – AI, Data Engineering & MLOps / Toronto, ON (Onsite) - FTE
AceStack
Toronto, ON
- Full-time
…problems, analyze real-world data, rapidly build AI-powered solutions, and deploy reliable, production-ready applications that deliver measurable business…
Added 51 mins ago
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Technical Analyst (Quicksight, SQL and Redshift)
FCC / FAC
Regina, SK · FCC Tower
- Full-time
As a Technical Analyst, you’ll ensure the reliability, performance, security and scalability of our cloud ecosystem within Amazon Web Services. With a strong customer focus, you’ll work…
Added 51 mins 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 51 mins 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 1 hour ago
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PLM Solution Architect - DELMIA/3DEXPERIENCE
Techso
Montreal, QC
- Full-time
Techso is looking to expand its team. In this role, you will work as a DELMIA/Digital Manufacturing Solution Architect to advise, define and deliver solutions for major projects in France,…
Added 1 hour ago
KG
Data & Analytics Solutions Architect- AI/ML
K&K Global Talent Solutions INC.
Toronto, ON
- Full-time
Position: Data & Analytics Solutions Architect- AI/ML
Added 1 hour ago
ZS
Data & Analytics Solutions Architect
Zodiac Solutions, Inc
Toronto, ON
- Full-time
Preferred certifications in Cloud Data Engineering, Kubernetes, Enterprise Architecture, Data Management, Security, DevOps, or Open-Source Data Platforms.
Added 1 hour ago
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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 1 hour ago
AC
Senior System Administrator
Amphenol Communications Solutions
Markham, ON
- Full-time
Amphenol Communications Solutions (ACS), a division of Amphenol Corporation, is a world leader in interconnect solutions for Communications, Mobile, RF, Optics, and Commercial electronics…
Added 1 hour ago
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Full Stack Architect - MDM/Customer 360
TD
Toronto, ON
- Full-time
Use knowledge of business acumen and technical expertise to play a lead role in shaping the technical vision to create complex distributed solutions, technical designs, and integrations.
Added 1 hour 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 1 hour ago
Director, HR Technology Engineering
Scotiabank
Toronto, ON
As an Architect, you will be at the forefront of shaping the digital employee experience. Your mission is to architect and deliver scalable, secure, and forward-thinking solutions that…
Added 1 hour ago
RC
Lead Application Modernization Architect – Open Liberty
Realtek Consulting LLC
Toronto, ON
- Full-time
We’re looking for a Lead Application Modernization Architect to drive enterprise application transformation, lead migration initiatives from traditional WebSphere Application Server (WAS)…
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
Preferred certifications in AWS Solutions Architecture, Snowflake, Data Engineering, Enterprise Architecture, Security, or AI/ML.
Added 2 hours ago
ZS
Data & Analytics Solutions Architect
Zodiac Solutions, Inc
Toronto, ON
- Full-time
Job Title: Data & Analytics Solutions Architect
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
Preferred certifications in Cloud Data Engineering, Kubernetes, Enterprise Architecture, Data Management, Security, DevOps, or Open-Source Data Platforms.
Added 2 hours ago
TC
Forward deployed Engineer
Tata Consultancy Services
Toronto, ON · Greater Toronto Area, Canada
- $100,000 to $120,000 CAD / year
- Full-time
Architect scalable data platforms, data pipelines, and AI solutions with a strong focus on performance, security, reliability, and cost optimization.
Added 2 hours ago
TC
Forward deployed Engineer
Tata Consultancy Services
Toronto, ON
- $100,000 to $120,000 CAD / year
- Full-time
Architect scalable data platforms, data pipelines, and AI solutions with a strong focus on performance, security, reliability, and cost optimization.
Added 2 hours ago
FI
Senior Simulation Scientist
Fulfillment IQ
Toronto, ON
- $115,000 to $145,000 CAD / year
- Full-time
Workbench is FIQ's warehouse-design platform: it lets a solutions engineer draw a warehouse the way an architect draws a building. You will design, build and own Workbench's warehouse…

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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