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Added 11 mins ago
AT
Senior Python Developer
Altis Technology
Toronto, ON · Greater Toronto Area, Canada
- $135,000 to $155,000 CAD / year
- Full-time
We are assisting our reputable client in the geoscience industry with the search for a Senior Back End Developer (C++/Python).
Added 27 mins ago
A
Staff Software Engineer - Open Source Data Platform (ODP)
Acceldata
Kitchener, ON
- Full-time
…problems, contribute to open-source communities, and mentor senior engineers while shaping the future of large-scale data…
Added 27 mins ago
DC
Ingénieur principal en solutions PLC
Distech Controls
Brossard, QC
- Full-time
Senior PLC Solutions Engineer : Data Center Solutions
Added 41 mins ago
NH
Senior Architectural Technologist
Noam Hazan Design Studio
Toronto, ON
- Full-time
Senior-level experience as an Architectural Technologist, Architect or comparable architectural professional.
Added 58 mins ago
G
Integrations Engineer I (Remote, Canada)
GoCanvas
Remote, Canada
- Full-time
- Remote
The Integrations Engineer I will entail transforming customer requirements into complete solutions - including custom, code-based integrations when pre-built connectors aren't enough - that…
Added 58 mins ago
SL
Senior UI/UX Software Engineer (UE5)
SkyBox Labs
Burnaby, BC
- Full-time
SkyBox Labs is looking for a Senior UI/UX Engineer to join our team on an ambitious AAA co-development project set within a highly anticipated universe.
Added 58 mins ago
SL
UI/UX Software Engineer (UE5)
SkyBox Labs
Burnaby, BC
- Full-time
SkyBox Labs is looking for a Senior UI/UX Engineer to join our team on an ambitious AAA co-development project set within a highly anticipated universe.
Added 2 hours ago
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F5 Load Balancer Architect With Azure Experience
TheCorporate
BC · British Columbia, Canada
- Contract
Certifications: F5 Certified Technology Specialist (F5-CTS) or F5 Certified Solution Expert (F5-CSE), and/or Azure Solutions Architect Expert certifications.
Added 2 hours ago
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Business System Analyst
MethodHub
Vancouver, BC
- Contract
…or a related field; relevant certifications (e.g., AWS/Azure Solutions Architect or DevOps Engineer, CBAP, CKAD,…
Added 2 hours ago
AI
Embedded Software Architect
Aversan Inc.
Montreal, QC
- Full-time
We are currently seeking a qualified Senior Embedded Software Architect to join our team. The ideal candidate will have experience in designing and implementing embedded software for…
Added 2 hours ago
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Head of Data Systems (Google Stack)
Stacktics
Toronto, ON
- Full-time
Migrating the delivery of the most common/universally applicable solutions from custom projects to formally productized software solutions
Added 2 hours ago
CL
Senior Cloud DevOps Engineer
Charger Logistics Inc
Brampton, ON
- Full-time
Required: Azure Solutions Architect Expert or GCP Professional Cloud Architect.
Added 2 hours ago
RB
Lead Full Stack Developer
Royal Bank of Canada
Toronto, ON
- Full-time
Certification in OpenShift or Microsoft Azure, such as Azure Developer Associate or Azure Solutions Architect Expert.
Added 2 hours ago
CL
Senior Cloud DevOps Engineer
Charger Logistics Inc.
Brampton, ON
- Full-time
Required: Azure Solutions Architect Expert or GCP Professional Cloud Architect.
Added 2 hours ago
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AI Principal Architect
Nasdaq
St. John's, NL
- Full-time
…shapes how the world's markets operate. As an AI Principal Architect, you'll provide strategic technical leadership across enterprise architecture, intelligent automation, and AI-enabled…
Added 3 hours ago
AI
Senior Architect
Architecture49 Inc.
Thunder Bay, ON
- Full-time
Lead and manage teams in producing architectural design solutions and construction drawings.
Added 3 hours ago
AI
Senior Architect
Architecture49 Inc.
Kingston, ON
- Full-time
Lead and manage teams in producing architectural design solutions and construction drawings.
Added 3 hours ago
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Conseiller(ère) en ingénierie de données sénior
Onepoint
Montreal, QC · Quebec, QC
- Full-time
Wepoint is the architect of major transformations for businesses and public sector organizations.
Added 3 hours ago
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Conseiller(ère) en ingénierie de données sénior
Wepoint
Montreal, QC · Quebec, QC
- Full-time
Wepoint is the architect of major transformations for businesses and public sector organizations.
Added 3 hours ago
A
Senior Data Engineer - Temporary
ARC'TERYX
North Vancouver, BC
- Full-time
As a Senior Data Engineer, you will lead the design and implementation of complex data architectures that drive critical business decisions across the organization. You'll architect…
Added 4 hours ago
RB
Director, SAP APFA Platform Lead
Royal Bank of Canada
Halifax, NS
- Full-time
…are treated with respect and dignity. Partner with the SAP Architect and Global SAP Lead to ensure alignment between functional design and technical…
Added 4 hours ago
A
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 hours ago
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Python Software Engineer
Varonis
Vancouver, BC · Greater Vancouver, BC
- Full-time
Senior Software Engineer – Secure AI Platform (Vancouver, On-Site)
Added 4 hours ago
VI
Senior Microsoft Dynamics CRM Developer
Veriday Inc.
Toronto, ON
- Contract
Veriday is seeking an experienced Senior Microsoft Dynamics CRM Developer / Technical Architect to join our client team based in Toronto for a 6-month contract position with the possibility…
Added 5 hours ago
Technical Architect Contracts (Computer Services Officer 4)
The Government of Nova Scotia
Halifax, NS
…stakeholders, and making implementation recommendations to senior stakeholders for sustainable financial…

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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