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Define and steward Teradata's enterprise-wide technical architecture vision, ensuring coherent design across compute, storage, query processing, AI/ML pipelines, and cloud integration layers
Lead architectural strategy for Teradata's highest-complexity, highest-risk platform initiatives—including Teradata Factory data lakehouse, Agentic Platform AI workloads, and MCP Integration framework
Serve as Teradata's primary external technical voice in industry forums, standards bodies (e.g., cloud data alliances, open-source governance boards), and with strategic enterprise customers and partners
Chair the Enterprise Architecture Review Board, establishing architectural principles, evaluating major design proposals, and resolving cross-team technical conflicts with speed and clarity
Develop and operationalize a comprehensive AI productivity framework for the Core Platform engineering org—defining tooling standards, measurement baselines, and a roadmap for AI-assisted design, testing, and documentation
Mentor a portfolio of Principal and Senior Staff Architects
serve as a career sponsor and technical role model for Teradata's most senior engineering talent
Produce landmark technical assets—platform blueprints, architecture whitepapers, technology evaluations—that are used directly in Board reporting, investor communications, and enterprise sales cycles
Partner with the CPO and Chief Data Officer to ensure architecture investments align with Teradata's five-year AI platform strategy and business outcomes
foundational AI skills to explore and implement ways AI can enhance productivity, innovation, and impact across our workforce
Requirements
20+ years of software or systems engineering experience, with 8+ years in a principal, distinguished, or fellow-level architectural role at a software product company or hyperscaler
Recognized technical authority in at least two of the following domains: cloud-native data platforms, distributed query processing, AI/ML infrastructure, elastic compute architecture, or enterprise integration
Demonstrated ability to set and communicate a multi-year technical vision that influences both internal engineering decisions and external market positioning
Proven track record of deploying AI tools, LLM-assisted workflows, and automated engineering practices at an organizational scale—with measurable productivity outcomes
Outstanding communication skills with experience presenting to Boards of Directors, institutional investors, and enterprise C-suite executives
Nice to have
Prior experience as a Chief Architect, Distinguished Engineer, or Fellow at a major cloud, data, or enterprise software company
Deep familiarity with Teradata Cloud, competitive platforms (Snowflake, Databricks, BigQuery), and the evolving landscape of AI-native data platforms
Experience in standards bodies, open-source project governance, or public technical thought leadership (published research, conference keynotes, industry whitepapers)
Ability to operate as both a hands-on technical reviewer—diving into code, design docs, and performance profiles—and a high-altitude strategic communicator
A passion for building AI-forward engineering cultures and demonstrated success integrating AI tools into the core of how engineering teams operate day to day
Track record of attracting, developing, and retaining exceptional technical talent in a globally distributed environment
A passion for how AI can unlock potential to help our teams, our customers, and our communities achieve great things