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Open nowPosted 4 hours ago

Solution Architect

Telesat54 open roles

Where
Ottawa, Ontario
Work mode
On site
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Your applicationOpen nowSolution ArchitectTelesat · Ottawa, Ontario

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Telesat's own form.

The reply lands in your private mailbox

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The clock on this job

Early applications get read.

7.9% of postings close within 7 days. Measured by our own scanner across the market. Telesat postings stay open a median of 2 days.

Share of postings closed within
  1. 1.6%1 day
  2. 3.6%3 days
  3. 7.9%7 days
  4. 14.9%14 days
  5. 34.2%30 days
This job: posted 4 hours ago

Telesat median: 2 days open

The posting

Télésat (Nasdaq et TSX : TSAT) est un opérateur mondial de satellites de premier plan qui fournit depuis plus de 50 ans des solutions de communication par satellite fiables et sécurisées à des clients du secteur de la radiodiffusion, des télécommunications, des entreprises et des gouvernements.

Forte d'une tradition d'excellence en ingénierie, de fiabilité et de service à la clientèle de premier ordre dans le secteur, Télésat est devenue l'un des opérateurs mondiaux de satellites les plus importants et les plus prospères.

Telesat Lightspeed, notre réseau révolutionnaire de satellites en orbite basse (LEO), dont la mise en service est prévue en 2027, redéfinira la connectivité mondiale à bande passante pour les utilisateurs professionnels en offrant une capacité, une sécurité et une résilience élevées, ainsi que des prix abordables, avec une latence ultra-faible et des vitesses comparables à celles de la fibre optique. Télésat a son siège social à Ottawa, au Canada, et possède des bureaux et des installations partout dans le monde. Pour en savoir plus, consultez le site www.telesat.com.

We are seeking an experienced Software 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.

Key Responsibilities

  • 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.
  • Design and integrate solutions across:
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.

Qualifications

  • 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.
  • CRM, CPQ, Billing, Order Management architectures
  • Salesforce
  • Netcracker BSS
  • Telecom product catalog and service orchestration concepts
  • Salesforce
  • Databricks
  • Azure Data Platform
  • Snowflake
  • SQL Server
  • Data Lake technologies
  • ETL/ELT frameworks
  • OpenAI, Azure OpenAI
  • Large Language Models (LLMs)
  • RAG architectures
  • AI orchestration frameworks
  • Machine Learning platforms
  • REST APIs
  • GraphQL
  • SOAP services
  • Event streaming (Kafka, Event Hub)
  • Enterprise integration patterns
  • API Gateways
  • 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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    The review screen in CV Rocket: how each CV was read, round by round.

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