Source-listed Job

Solutions Architect

Telesat (Nasdaq and TSX: TSAT) is a leading global satellite operator, providing reliable and secure satellite-delivered communications solutions worldwide to broadcast, telecommun

Job Source description available
Telesat Ottawa, Ottawa, Ontario Source published Oct 5, 2026 Source retrieved Oct 9, 2026
Source: telesat (lever) · A retrieval date records when our system last obtained the source record. It does not guarantee the vacancy is still open or that every detail has been independently checked.
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EmploymentFull Time Hire - (FTE with Benefits)

Overview

Telesat (Nasdaq and TSX: TSAT) is a leading global satellite operator, providing reliable and secure satellite-delivered communications solutions worldwide to broadcast, telecommun

Full job description

Telesat (Nasdaq and TSX: TSAT) is a leading global satellite operator, providing reliable and secure satellite-delivered communications solutions worldwide to broadcast, telecommunications, corporate and government customers for over 55 years. Backed by a legacy of engineering excellence, reliability and industry-leading customer service, Telesat has grown to be one of the largest and most successful global satellite operators. Telesat Lightspeed, our revolutionary Low Earth Orbit (LEO) satellite network, scheduled to begin service in 2027, will revolutionize global broadband connectivity for enterprise and Government users by delivering a combination of high capacity, security, resiliency and affordability with ultra-low latency and fiber-like speeds. Telesat is headquartered in Ottawa, Canada, and has offices and facilities around the world.

The company’s state-of-the-art Satellite fleet consists of 12 GEO satellites, the Canadian payload on ViaSat-1 and one LEO 3 demonstration satellite. For more information, follow Telesat on X and LinkedIn or visit www.telesat.com

We are seeking an experienced Solutions Architect with deep expertise in Business Support Systems (BSS), Enterprise Data Platforms, Analytics, and Artificial Intelligence solutions. The successful candidate will be responsible for defining and governing end-to-end solution architectures that support customer management, product catalog, order management, billing, CRM, data platforms, and AI-enabled business capabilities. This role requires a strategic thinker who can bridge business and technology, drive modernization initiatives, define target-state architectures, and ensure scalable, secure, and maintainable solutions across complex enterprise environments.

Architecture & Solution Design Define and maintain enterprise architecture standards, patterns, and reference architectures for BSS, Data, and AI platforms. Lead architecture design for new business initiatives and digital transformation programs. Develop scalable and resilient architectures supporting high transaction volumes and mission-critical operations. Create solution blueprints, architecture diagrams, integration patterns, and technical roadmaps. Conduct architecture reviews and provide governance throughout the project lifecycle. BSS Architecture Design and integrate solutions across the following; CRM Product Catalog CPQ (Configure, Price, Quote) Order Management Provisioning Billing Customer Care Revenue Assurance Support modernization and transformation of legacy BSS platforms. Collaborate with business stakeholders to translate requirements into technical solutions. Data Platform Architecture Define enterprise data architecture strategies including: Data lakes Data warehouses Data mesh Master Data Management (MDM) Metadata management Design data integration architectures using APIs, ETL/ELT, event-driven and streaming frameworks. Ensure data quality, governance, lineage, and security requirements are met. Support real-time and batch analytics capabilities. AI & Advanced Analytics Architect AI-enabled business solutions leveraging: Generative AI Machine Learning Predictive Analytics Natural Language Processing Intelligent Automation Design AI integration patterns using enterprise systems and data platforms. Evaluate and implement AI governance, security, privacy, and responsible AI controls. Architect Retrieval-Augmented Generation (RAG) solutions and enterprise knowledge systems. Collaborate with Data Scientists and AI Engineers on production AI deployments. Integration & Cloud Architecture Design API-first architectures and integration strategies. Define microservices and event-driven architecture patterns. Ensure interoperability between BSS, OSS, ERP, CRM, and external partner ecosystems. Develop cloud-native architectures using Azure, AWS, or hybrid cloud environments. Governance & Leadership Architecture reviews and technology evaluations. Mentor development teams and solution architects. Establish architecture standards and technical best practices. Participate in strategic technology planning and vendor evaluations. Support procurement, RFP reviews, and technical due diligence activities.

Experience 9+ years in software architecture, enterprise architecture, or solution architecture roles. 5+ years architecting telecommunications, satellite, cable, or utility BSS ecosystems. Experience delivering large-scale enterprise transformation programs. Proven experience designing cloud-native and distributed architectures. Technical Skills BSS Platforms CRM, CPQ, Billing, Order Management architectures Salesforce Netcracker BSS Telecom product catalog and service orchestration concepts Data Technologies Databricks Azure Data Platform Snowflake SQL Server Data Lake technologies ETL/ELT frameworks AI Technologies OpenAI, Azure OpenAI Large Language Models (LLMs) RAG architectures AI orchestration frameworks Machine Learning platforms Integration REST APIs GraphQL SOAP services Event streaming (Kafka, Event Hub) Enterprise integration patterns API Gateways Cloud Platforms Microsoft Azure Kubernetes Docker CI/CD pipelines Infrastructure as Code

TOGAF, Azure Solutions Architect or equivalent certification. Experience with enterprise governance and compliance frameworks. Knowledge of cybersecurity principles, IAM, SOX controls, and data privacy regulations. Experience with enterprise AI governance frameworks. Familiarity with Agile, DevOps, and SAFe delivery methodologies.

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