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Added 15 days ago
Duck Creek Developer
Capgemini
Toronto, ON
Experience with Git, Azure DevOps, or similar version control tools.
Added 15 days ago
T
Senior Microsoft Dynamics 365 Developer – Technical Lead (CRM / Power Platform)
ThoughtStorm
Toronto, ON
- Contract
Experience developing enterprise integrations and implementing Azure DevOps, GitHub, CI/CD pipelines, and automated deployments.
Added 15 days ago
GM
ETL Test Lead/ Sr. ETL Tester
Galactic Minds INC
Vancouver, BC
- Full-time
Added 15 days 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 15 days ago
H
Data Solution Architect
Hays
Toronto, ON
- Contract
Core Languages and Tools: Fluency in Python, SQL, Snowflake DBT along with CI/CD pipeline management (Git, Azure DevOps/GitHub Actions).
Added 15 days ago
B
Java Developer with SQL
Bounteous
Montreal, QC
- Full-time
Mentor junior developers and provide technical guidance to the team. Collaborate with DevOps, QA, and product teams to ensure seamless delivery. Contribute to technical discussions and…
Added 15 days ago
LLM Research Intern (December 2026 to April 2027)
ProCogia
Vancouver, BC
…technologies and challenges that extend well beyond traditional DevOps. This is an environment where strong engineers can build, learn, take ownership, and make a visible…
Added 15 days ago
DevOps & Cloud Platform Intern (December 2026 to April 2027)
ProCogia
Vancouver, BC
ProCogia is looking for a DevOps & Cloud Platform Intern to join our Winter 2027 internship cohort. This role is designed primarily for final-year Bachelor’s and Master’s students who want…
Added 15 days ago
AI Intern, Applied & Agentic AI (December 2026 to April 2027)
ProCogia
Vancouver, BC
…technologies and challenges that extend well beyond traditional DevOps. This is an environment where strong engineers can build, learn, take ownership, and make a visible…
Added 15 days ago
TS
Software Developer / Analyst
Tangam Systems
Waterloo, ON
- Full-time
Added 15 days ago
TG
DevOps Analyst
TMX Group
Toronto, ON
- Full-time
Leveraging DevOps has become necessary and key to delivering on GTS' promise to be a technology driven solutions provider that puts clients first. The DevOps Engineering team is responsible…
Added 15 days ago
TG
DevOps Analyst
TMX Group
Montreal, QC
- Full-time
Leveraging DevOps has become necessary and key to delivering on GTS' promise to be a technology driven solutions provider that puts clients first. The DevOps Engineering team is responsible…
Added 15 days ago
C
Senior Manager, Application Development
CIBC
Toronto, ON
- Full-time
…ETL pipelines and data models. You have a solid knowledge of DevOps practices including environment management, security, pipeline management, compliance, release management with…
Added 15 days ago
PS
Senior Analyst, Total Fund Solutions
Public Sector Pension Investment Board
Montreal, QC
- Full-time
Experience with projects, software development life cycle processes and Agile/DevOps delivery models
Added 15 days ago
BI
DevOps & Cloud Systems - Fullstack Developer
BrightOrder Inc.
Remote, Canada
- Full-time
- Remote
We’re looking for a Full Stack Developer with strong DevOps and AWS experience to help build, automate, and scale BrightOrder’s cloud-based platform.
Added 15 days ago
Spécialiste principal bilingue, Sécurité des applications (AppSec)
CMHC - SCHL
Ottawa, ON · Toronto, ON · Montreal, QC
Added 15 days ago
Bilingual Senior Specialist, Security Applications (AppSec)
CMHC - SCHL
Ottawa, ON · Toronto, ON · Montreal, QC
…ensuring security is integrated throughout the SDLC/SSDLC, Agile, DevOps, and DevSecOps delivery…
Added 15 days ago
GT
Information Security Analyst
Global Technical Talent, an Inc. 5000 Company
Toronto, ON
- $65 to $70 CAD / hour
- Contract
…of professionals - including information security analysts, DevOps engineers, business analysts, enterprise program analysts, and capital markets specialists - who collaborate across its…
Added 15 days ago
IS
Java Full Stack Lead
Iris Software Inc.
Toronto, ON
- Full-time
Experience with CI/CD pipelines, Git, Jenkins, and DevOps practices
Added 15 days ago
M
Senior I&IT Project Manager
Metrolinx
Toronto, ON
- Full-time
Experience with Jira, Confluence, Microsoft Project, Azure DevOps, or other recognized project management and Agile delivery tools.
Added 15 days ago
TC
Engineering
Tata Consultancy Services
Toronto, ON
- $90,000 to $100,000 CAD / year
- Full-time
Experience with Salesforce DX and DevOps tools.
Added 15 days ago
TC
Salesforce Communications Cloud Developer
Tata Consultancy Services
Toronto, ON
- $90,000 to $100,000 CAD / year
- Full-time
Experience with Salesforce DX and DevOps tools.
Added 15 days ago
I
QA Automation Engineer - Database & ETL Testing
INFOYA
Toronto, ON
- $100,000 to $115,000 CAD / year
- Full-time
Exposure to DevOps, CI/CD, and cloud-native testing
Added 15 days ago
VC
Software developer
Vaisesika Consulting Inc.
Toronto, ON
- From $62.5 CAD / hour
- Full-time
- On-site
Added 15 days ago
KR
Fresh Graduate – Java Full Stack Developer
KTek Resourcing
Toronto, ON
- $60,000 to $70,000 CAD / year
- Full-time
Participate in Agile ceremonies and learn industry-standard DevOps practices.

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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