Solution Architect

Lever, Inc.

Ottawa

On-site

CAD 150,000 - 200,000

Full time

3 days ago
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Job summary

Telesat Ottawa seeks an experienced Solutions Architect to define end-to-end architectures for BSS, data platforms and AI-enabled capabilities. Lead governance, patterns, and roadmaps across CRM, billing, order management, data lakes/warehouses, and AI integrations in a global satellite context.

Bridge business needs with technology, drive modernization, mentor teams, and collaborate with Data Scientists and AI engineers to ensure secure, scalable solutions for mission-critical operations.

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. 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.

Key Responsibilities
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.
Qualifications
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
Desired Qualifications
  • 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.

At Telesat, we take pride in being an equal opportunity employer that values equality in the workplace. We are committed to providing the best candidate experience possible including any required accommodations at every stage of our interview process. All qualified applicants that have been selected for an interview that require accommodations, are advised to inform the Telesat Talent team accordingly. We will work with you to meet your needs. All accommodation information provided will be treated as confidential.

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