Teradata · 6 days ago
Principal Architect, Autonomous and Knowledge Platform
San Diego, CA
Full-time
Hybrid
Lead/Staff
$240K/yr - $359K/yr
15+ years expTeradata is a leading company in cloud analytics and data platforms for AI. The Principal Architect will lead the architecture for the autonomous and knowledge platform, driving technical strategy and ensuring the platform's reliability and performance across hybrid cloud environments.
AnalyticsBusiness IntelligenceCloud Data ServicesCloud StorageData GovernanceData ManagementMarketingPrivate CloudSaaSSoftware
Responsibilities
Launch production-grade functionality in Teradata's Knowledge and Data Platform, driven by agentic AI
Lead hands-on engineering effort of core developer teams embedding agentic AI into core systems
Work with knowledge/semantic modeling teams on evolving POC-level agentic AI use cases into production-grade code
Partner with senior leaders on the vision, state of the art agentic AI and drive this vision into production
Partner with AI platform engineering teams on company-wide frameworks to launch production-ready agentic AI applications
Collaborate with engineering, data science, and AI teams to ensure infrastructure and automation strategies support cutting-edge analytics and AI capabilities
Partner with the Office of the CTO to align infrastructure and automation roadmaps with Teradata’s innovation and technology vision
Work closely with Security Engineering to ensure infrastructure and release processes meet enterprise-grade security and compliance requirements
Engage with product management and go-to-market teams to understand customer needs and shape infrastructure solutions that enhance Teradata’s AI and analytics offerings
Support R&D teams in evaluating new tools, technologies, and automation frameworks to drive efficiency and reliability on Teradata’s platform
Qualification
Required
15+ years of experience in enterprise architecture, distributed systems, or large-scale analytics platforms
Demonstrated experience integrating AI and ML into enterprise-grade products at scale
Expertise in hybrid and multi-cloud architectures, including secure integration with hyperscalers (AWS, Azure, Google Cloud)
Strong understanding of agentic AI architectures, orchestration frameworks, and generative AI integration
Proven track record of building production-grade AI/ML inference pipelines with governance and monitoring
Knowledge of open data formats, modern query engines, real-time streaming, and enterprise APIs
Experience modernizing platforms from monolith to microservices with Kubernetes-based deployment
Master's degree in computer science, Engineering, or related technical discipline
A strategic mindset with a hands-on, systems-thinking approach to architecture
The ability to lead without direct authority by mentoring and influencing senior engineers across the organization
Deep understanding of platform reliability, performance optimization, observability, and secure AI deployment
Exceptional communication skills to clearly articulate technical vision and business impact
A passion for AI, data, and analytics and a drive to deliver innovation at a global enterprise scale
Preferred
PhD in computer science, Engineering, or related technical discipline
Company
Teradata
Teradata is the connected multi-cloud data platform company. Our enterprise analytics solve business challenges from start to scale.
10001+ employees
H1B Sponsorship
Teradata has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (8)
2024 (31)
2023 (15)
2022 (27)
2021 (34)
2020 (12)
Funding
Current Stage
Public CompanyTotal Funding
unknown2007-09-21IPO
Leadership Team
Michael Koehler
President & CEO
Louis Landry
Chief Technology Officer
Recent News
2026-01-06
2025-12-04
Company data provided by crunchbase