About the Role
As a Principal Software Architect on the Commercial Architecture team at OpenText, you will lead the design and governance of modern application and cloud architectures across a diverse product landscape. This is a strategic and hands-on role focused on driving architectural consistency, scalability, and modernization across OpenTexts commercial software portfolio.
You will work cross-functionally with product engineering, operations, product management, and security to guide and influence the technical direction of cloud-native services, APIs, identity, and next-generation application platforms. This role is ideal for someone who combines deep technical expertise with strategic thinking and a passion for designing large-scale, modern, secure systems. Strong data engineering and AI experience are required.
Key Responsibilities
Develop unified data strategies eliminating fragmented application landscapes and silos and integrating structured data and unstructured data
Define data product specifications and standards that treat information as engineered assets with standardized service contracts and governance controls
Design AI-driven knowledge graph construction from vast repositories of unstructured content
Architect AI-native data pipelines integrating with OpenText's Aviator AI platform for contextual search and agentic workflows
Design accuracy enhancement frameworks to reduce hallucinations and provide verifiable results
Drive strategic customer pilots in content-heavy industries (legal, healthcare, financial services) with clear ROI demonstration
Provide architectural governance and consultation across a portfolio of products, ensuring alignment with enterprise standards.
Shape technical vision, translate architectural concepts into business value, and present to C-level executives
Required Qualifications
10+ years enterprise data architecture experience designing large-scale platforms for Fortune 500 companies
Deep expertise in modern data architecture patterns (data pipeline, data mart and data fabric) and data processing frameworks (Spark, Kafka)
Advanced knowledge of knowledge graphs and semantic technologies (RDF, SPARQL, Neo4j)
Strong AI/ML background, particularly LLMs, and automated knowledge extraction from unstructured content
Data governance, compliance frameworks (GDPR, HIPAA, SOX), and enterprise security architectures
Extensive multi-cloud architecture experience (AWS, Azure, GCP) and hybrid cloud strategies
Experience working in or with large-scale SaaS platforms, including deployment, scale, and operational considerations
Leadership and Communication
Proven ability to define and drive a compelling technical vision, leading large-scale architectural transformational initiatives
Demonstrated success in leading cross-functional teams within complex B2B environments
Exceptional communication and interpersonal skills, with a strong ability to influence and align diverse technical and business stakeholders
Advanced documentation and visualization capabilities, including authoring architecture blueprints, reusable patterns, and reference artifacts that promote consistency and scalability across teams
Extensive experience in customer-facing engagements, providing expert technical guidance, solutioning, and support in high-stakes scenarios