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A career in IBM Consulting is built on long‑term client relationships and close collaboration worldwide. You’ll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you’ll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You’ll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long‑term career development while valuing your unique skills and experiences.

Responsibilities

Design End-to-End Solutions: Create tailored data solutions for clients, utilizing Cloud and traditional data platform offerings, and oversee the architecture for data platform and cognitive components.

Develop Data Strategies: Leverage expertise in managing large data repositories to develop effective data management strategies, incorporating industry standards and best practices.

Oversee Architecture: Guide the architecture for data platform and cognitive components, including unstructured data technologies, annotation, and related data and analytics.

Collaborate with Clients: Work closely with clients to understand their needs and deliver customized data solutions that meet their requirements.

Drive Technical Excellence: Stay up-to-date with emerging trends and technologies, applying deep expertise in data platforms to drive technical excellence and innovation.

Required Education Bachelor's Degree

Required Technical and Professional Expertise

Data Platform Architecture:

Proven experience designing and delivering end‑to‑end Big Data solutions across multiple platforms

Extensive experience managing large‑scale data repositories (terabyte scale or larger)

Cloud & Cloud‑Native Expertise:

Strong experience with one or more cloud platforms: AWS, Azure, Google Cloud, IBM Cloud

Experience with cloud‑native data platforms such as Snowflake





Solid understanding of containerized data platforms and data on OpenShift

Hadoop & Big Data Ecosystem:

Deep expertise in the Hadoop framework, ecosystem, and MapReduce concepts

Strong understanding of distributed data processing patterns and architectures

Streaming & Kafka:

Hands‑on experience designing and operating Kafka‑based data streaming platforms

Solid understanding of Kafka components including:

Topics, partitions, replication

Access Controls (ACLs)

Zookeeper

Schema Registry

Familiarity with Confluent Kafka is required

Software Engineering & APIs:

Strong hands‑on experience with Java and Spring Boot

Experience building and consuming RESTful APIs

Ability to write comprehensive unit and integration tests

Microservices & CNCF:

Solid understanding of microservices architecture and design principles

Strong knowledge of CNCF concepts, containers, Docker, and Kubernetes fundamentals

DevOps & CI/CD:

Practical experience with CI/CD pipelines, containerization, and automated deployments

Ability to troubleshoot performance, data flow, and operational issues in production systems

Delivery & Ways of Working:

Experience working in Agile delivery environments

Strong collaboration, communication, and technical leadership skills

Preferred Technical and Professional Experience

Cloud Native Platform Expertise: Experience with Cloud native platforms such as AWS, Azure, Google, IBM Cloud, or Cloud Native data platforms like Snowflake, with the ability to leverage these platforms to create tailored data solutions.

HADOOP Framework Knowledge: Deep understanding of the HADOOP Framework, Ecosystem, MapReduce, and Data on Containers (data in OpenShift),



with the ability to apply this knowledge to design end‑to‑end Big Data Solutions.

Unstructured Data Technology Understanding: Strong understanding of unstructured data technologies, annotation, and related data and analytics, with the ability to guide the architecture for data platform and cognitive components.

Experience with enterprise integration and industry frameworks, including BIAN (preferred)

Prior experience supporting production systems and participating in operational/on‑call rotation

Exposure to:

Data governance, metadata management, and data quality frameworks

AI/ML data pipelines and cognitive analytics enablement

Experience working with financial services, regulated industries, or large enterprise platforms

Consulting or client‑facing experience with the ability to present architecture and technical trade‑offs clearly

Other Relevant Job Details Must have the ability to work in Canada without sponsorship.

Job Title: Solution Architect‑Data Platforms

Job ID: 107777

City / Township / Village: Toronto

State / Province: Canada

Country: Canada

Work arrangement: Hybrid

Area of work: Software Engineering

Employment type: Regular

Contract type: Regular

Projected Minimum Salary per year: 157,250.00

Projected Maximum Salary per year: 195,000.00

Position type: Professional

Work schedule: Up to 80% or 4 days a week (home on weekends - based on project requirements)

Shift: General (daytime)

Equal Employment Opportunity Statement IBM is proud to be an equal‑opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, neurodivergence, age, or other characteristics protected by the applicable law. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

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Apply on Kit Job: kitjob.ca/job/2g96vl

📌 Software Engineering Solution Architect-Data Platforms Professional Toronto, CA
🏢 IBM
📍 Toronto