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Added 6 mins ago
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Senior Technology Manager, Loan Servicing Technology
BMO
Toronto, ON · FCP
- Full-time
We are seeking a Senior Technology Manager to lead the Loan Servicing Technology portfolio supporting critical lending platforms and services within Commercial and Corporate Banking.
Added 6 mins ago
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Senior Technology Manager
BMO
Toronto, ON · FCP
- Full-time
You will lead high-performing teams, partner across the organization, and ensure technology delivery aligns with business priorities, customer needs, and financial goals.
Added 6 mins ago
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Principal Software Developer
Autodesk
Toronto, ON · AMER - Canada - Ontario - Toronto - University Ave
- Full-time
We are looking for a Principal Software Engineer to help lead the architecture, execution, and operational excellence of this platform. This is a senior individual contributor role for an…
Added 51 mins ago
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Senior Manager, Software Development
RBC
Toronto, ON
- Full-time
We are seeking an experienced Senior Manager, Software Development to lead this transformation. This role combines deep technical expertise, people leadership, software architecture, and…
Added 1 hour ago
HT
Industrial Software Validation
Husky Technologies
Bolton, ON
- Full-time
…passion of our people around the world and their desire to lead change. At the same time, we are not afraid to expect a lot and strive for leadership in all of our key markets. We are a…
Added 1 hour ago
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Vice President, Commodities Development
BMO
Toronto, ON · FCP
- Full-time
…developing resilient, scalable and compliant trading system in Java while enabling increasing levels of automation and electronic execution across the Commodities trading flows. This role…
Added 1 hour ago
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Developer Lead (AI-Enabled Systems)
BMO
Toronto, ON · FCP
- Full-time
Translate business requirements into scalable technical solutions
Added 1 hour ago
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Fixed Income Trading Analyst
BMO
Toronto, ON · FCP
- Full-time
Lead various workstreams associated with BMO’s program to build, consolidate and improve fixed income trading platforms
Added 1 hour ago
GD
Co-op Winter 2027 - Systems Integration, Verification, and Validation - 8-12 months
General Dynamics Missions System International
Ottawa, ON
- Internship
Currently pursuing a Bachelor’s degree in Electrical Engineering, Computer Engineering, Software Engineering, Systems Engineering, or a related technical/scientific discipline.
Added 1 hour ago
GD
Co-op Winter 2027 – System of Systems Integration, Verification and Validation – 4-8 months
General Dynamics Missions System International
Ottawa, ON
- Internship
Currently pursuing a Bachelor’s degree in Electrical Engineering, Computer Engineering, Software Engineering, Systems Engineering, or a related technical/scientific discipline.
Added 2 hours ago
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Java Developer
Virtusa
Mississauga, ON
- Full-time
Lead technical design discussions and contribute to architectural decisions
Added 2 hours ago
V
Architect
Virtusa
Toronto, ON
- Full-time
This resource will lead the technical investigation and implement end-to-end application traceability.
Added 2 hours ago
V
Lead Software Engineer
Virtusa
Toronto, ON
- Full-time
This resource will lead the technical investigation and implement end-to-end application traceability.
Added 2 hours ago
V
Lead Software Engineer
Virtusa
Toronto, ON
- Full-time
Provide technical guidance and mentorship to junior developers.
Added 2 hours ago
OI
Senior Software Engineer
Oryn, Inc.
Mississauga, ON
- Full-time
Demonstrated ability to lead technical initiatives, mentor peers, and collaborate in a multidisciplinary team.
Added 3 hours ago
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AI Solution Lead
Virtusa
Toronto, ON
- Full-time
…with best practices in AI ethics and data governance.Provide technical guidance and mentorship to junior team members.Stay updated with the latest trends and advancements in generative and…
Added 3 hours ago
SM
RQ00388 – Solution Architect
S M Software Solutions Inc
Fredericton, NB
- Full-time
…enterprise application development, .NET, Microsoft SQL Server, Java, JavaScript, and large-scale healthcare applications. The successful candidate will work closely with the My Health NB…
Added 3 hours ago
S
Forward Deployed Solution Engineer – Applied AI FDE
ServiceNow
Montreal, QC
- Full-time
Added 3 hours ago
GD
Co-op Winter 2027 DevOps Engineering - 8-16 Months
General Dynamics Missions System International
Ottawa, ON
- Internship
Knowledge of object-oriented programming languages such as C/C++, C#, Java, or Python.
Added 3 hours ago
CI
Lead software engineer
Cogency Inc
Toronto, ON
- From $57 CAD / hour
- Full-time
- On-site
Research technical information to design, develop and test computer-based systems
Added 5 hours ago
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Senior Software Developer - Networking (Flow)
Nutanix
Vancouver, BC
- $171,000 to $257,000 CAD / year
- Full-time
Mentor junior team members and participate in technical knowledge-sharing events, such as tech talks, boot camps, and community events.
Added 6 hours ago
KG
Principal Data Solutions Architect- AI/ML
K&K Global Talent Solutions INC.
Toronto, ON
- Full-time
Proven ability to lead architecture definition, HLD/LLD creation, NFR assessment, migration planning, technical governance, and production readiness activities.
Added 6 hours ago
Senior Back-end Java Developer
WestJet Group
Calgary, AB
This new member will provide technical expertise and will support/ lead the development team in creating high-quality software solutions by designing and developing web-based Java…
Added 7 hours ago
KG
Data Architect - Big Data & Analytics
K&K Global Talent Solutions INC.
ON · Ontario, Canada
- Full-time
We are seeking a visionary Enterprise Data Architect with over 14 years of experience to lead the architecture, optimization, and long-term modernization of our global Big Data platforms.…
Added 7 hours ago
HT
Industrial Software Validation
Husky Technologies
Bolton, ON
- Full-time
…passion of our people around the world and their desire to lead change. At the same time, we are not afraid to expect a lot and strive for leadership in all of our key markets. We are a…

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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