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Added 13 mins ago
F
Software Engineer - II
FISPAN
Vancouver, BC
- Full-time
FISPAN Services Inc. (FISPAN) is an Enterprise SaaS FinTech company that allows banks to deploy embedded financial products and services to create a seamless banking connection for their…
Added 27 mins ago
P
Software Engineer
ProxyLink
Toronto, ON
- $80 to $90 CAD / hour
- Contract
ProxyLink is hiring an experienced Software Developer to design, develop, test, deploy, and troubleshoot enterprise-level applications using Java Enterprise technologies. The successful…
Added 28 mins ago
VC
Staff Software Engineer
Valsoft Corporation
Remote, Canada
- Full-time
- Remote
…decisions for our platform, including the modernization of legacy enterprise systems into modern, cloud-capable solutions. You'll operate with significant autonomy, act as a force…
Added 28 mins ago
M
RQ11611 - Business Analyst - Senior
Maarut
Toronto, ON
- Contract
Project Management Methodology, Enterprise Architecture and Gating Process, and
Added 43 mins ago
RB
Director, SAP APFA Platform Lead
Royal Bank of Canada
Halifax, NS
- Full-time
Own the technical setup of the SAP platform, ensuring it is aligned with enterprise design and scalable for future rollouts. Oversee and guide any custom development, extensions, or…
Added 43 mins ago
GS
Business Systems Developer
Grantek Systems Integration
Burlington, ON
- Full-time
Grantek is looking for a Business Systems Developer to design, build, and maintain the internal applications, integrations, and automation workflows that support our global operations. This…
Added 56 mins ago
S
Business System Analyst
SMARTFOX
Canada
- Full-time
Hands-on experience administering or configuring an enterprise platform (Salesforce, NetSuite, SAP, Workday, ServiceNow, Dynamics, or similar)
Added 56 mins ago
LI
Frontend Developer
LanceSoft, Inc.
Toronto, ON
- Contract
Working under the supervision of the Manager, Application Portfolios, the UI/UX Developer will be responsible for implementing the approved ttc.ca website redesign and building new…
Added 56 mins ago
DM
Manager, Project Controls
DMC Mining Services
Vaughan, ON
- Full-time
This role suits a project controls professional who wants an enterprise-wide mandate, direct executive exposure and the opportunity to shape how a global mining contractor plans, measures…
Added 56 mins ago
CG
Senior Manager, Cybersecurity Technology Transformation Services
Cyberium Group
Richmond, BC
- Part-time
Preferred experience designing and implementing enterprise cybersecurity transformation programs, including Identity and Access Management (IAM), covering strategy definition, roadmap…
Added 56 mins ago
A
AI Architect / Toronto, ON (Hybrid) - FTE
AceStack
Toronto, ON
- Full-time
Experience with Azure AI Services, Azure OpenAI, model hosting, REST APIs, and enterprise integration architecture.
Added 58 mins ago
Business Systems Analyst, Systems & Data Transformation
Munich Re
Toronto, ON
Elicit, analyze, document, and validate business, functional, non-functional, data, integration, and reporting requirements from stakeholders.
Added 58 mins ago
Senior Manager, Sales Effectiveness Seismic Product Owner, GTB - Toronto
Scotiabank
Toronto, ON
…improvement. Through strong governance, enablement, analytics, and integration with adjacent platforms, this role enhances sales productivity and content effectiveness, while ensuring…
Added 1 hour ago
VI
Senior Microsoft Dynamics CRM Developer
Veriday Inc.
Toronto, ON
- Contract
Design and implement integrations between Dynamics CRM and enterprise applications using REST APIs, Dataverse Web API, and relevant Azure integration services.
Added 1 hour ago
LI
Enterprise Search Engineer
LanceSoft, Inc.
Toronto, ON
- Contract
Added 1 hour ago
G
Business Systems Developer
Grantek
Burlington, ON
- Full-time
Grantek is looking for a Business Systems Developer to design, build, and maintain the internal applications, integrations, and automation workflows that support our global operations. This…
Added 1 hour ago
CO
Senior GIS Analyst
City of North Vancouver
North Vancouver, BC
- Full-time
…GIS Analyst with expertise in spatial data architecture and enterprise GIS integration. This role combines deep technical expertise with strategic thinking, stakeholder engagement, and a…
Added 1 hour ago
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Technical Consultant (Data & AI)
Fastloop
Vancouver, BC
- Full-time
LLM Integration: Orchestrate prompts, context management, and tool-calling for models like Gemini Enterprise.
Added 1 hour ago
AS
Back End Developer
Ardent SoftSol Inc.
Brampton, ON
- Contract
Experience 8–12 years of overall IT experience with 5+ years of hands-on Senior Backend Developer with strong expertise in Java and Spring Boot, experienced in building and delivering…
Added 1 hour ago
H
AI Solutions Architect
Hays
Toronto, ON
- Contract
…undergoing significant digital transformation initiatives across enterprise data, AI, banking integration, risk, finance, treasury, and AML…
Added 1 hour ago
C
C-FIN-275 Software Engineering Intern, AI, Automation and Business Intelligence-EN
CAE
Montreal, QC
- Full-time
…will also receive mentorship from experienced professionals in enterprise software development, system integration, analytics and…
Added 1 hour ago
VC
Adobe Experience Manager (AEM), SRE - CDN and Edge Delivery
VK CONSULTING SERVICES
Canada
- Full-time
…Delivery Services and Assets as a Cloud Service, alongside enterprise Content Delivery Network (CDN)…
Added 1 hour ago
CS
Senior PeopleSoft FSCM Consultant
Confiar Services
Toronto, ON
- $70 to $75 CAD / hour
- Contract
Troubleshoot application issues, batch failures, integration errors, and other production incidents.
Added 1 hour ago
TI
Sr. Java Backend Developer
Tekgence Inc
Brampton, ON
- Contract
Experience 8–12 years of overall IT experience with 5+ years of hands-on Senior Backend Developer with strong expertise in Java and Spring Boot, experienced in building and delivering…
Added 1 hour ago
Y
Sr. Backend Developer
Yochana
Brampton, ON
- Full-time
Experience 8-12 Years of overall IT experience with 5+ Years of hands-on Senior Backend Developer with strong expertise in Java and Spring Boot, experienced in building and delivering…

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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