Our company: 

At Teradata, we believe that people thrive when empowered with better information. That’s why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers—and our customers’ customers—to make better, more confident decisions. The world’s top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise. 

What you will do: 

As the Senior Director of Elastic Compute Architecture, you will set the multi-year strategic vision for how Teradata's Vantage platform allocates, scales, and governs compute resources across public cloud environments. This is a senior leadership role that combines deep technical authority with organizational accountability—you will define the architecture for Teradata's elastic compute capability while building and developing the team of architects who execute it. 

• Own the long-range architectural roadmap for elastic compute across the Vantage platform, including dynamic resource provisioning, multi-tenant workload isolation, and adaptive query scheduling for AI and analytics workloads. 

• Lead a team of Senior Staff and Staff Architects, setting technical standards, driving design reviews, and cultivating a culture of engineering excellence and continuous improvement. 

• Partner with CPO and ELT-1 engineering leaders to align elastic compute investments with Teradata's Artemis, Agentic Platform, and MCP Integration product priorities. 

• Represent Core Platform architecture in executive and customer-facing forums; articulate compute strategy to Board-level audiences, enterprise accounts, and strategic partners. 

• Drive a 10x productivity agenda across the architecture function through structured AI tool adoption—including AI-assisted design review, generative documentation, and automated performance regression analysis. 

• Define the talent and capability model for the elastic compute architecture discipline; partner with Talent Acquisition to attract, assess, and onboard world-class architects globally. 

• Establish governance frameworks, architectural review boards, and cross-functional working groups to ensure elastic compute decisions are made with speed and rigor. 

• Identify and manage technical debt, platform risk, and capacity planning across the compute layer; present risk posture and mitigation roadmaps to senior leadership. 

• Apply foundational AI skills to explore and implement ways AI can enhance productivity, innovation, and impact across our workforce 

Who you will work with: 

You will report to the VP of Core Platform Engineering and serve as a peer to engineering directors leading database, storage, and cloud infrastructure domains. You will collaborate extensively with Raj Shukla (AI Engineering), Subhadip B. (Core Engineering), and product leadership under CPO Sumeet Arora. Internally, your team spans geographies including the US, India, EMEA, and APJ. You will interact regularly with customers, partners, and standards bodies to ensure Teradata's compute architecture remains industry-leading. 

What makes you a qualified candidate: 

• 15+ years of progressive experience in cloud infrastructure or distributed systems engineering, including 5+ years in a senior architectural or engineering leadership role. 

• Proven track record of setting multi-year technical strategy for large-scale, commercially deployed cloud platforms with global enterprise customers. 

• Deep knowledge of elastic compute architectures—autoscaling, multi-cloud resource management, containerization, and workload scheduling—at petabyte and petaflop scale. 

• Experience driving AI-powered productivity initiatives within engineering organizations, including measurable outcomes from AI tool adoption programs. 

• Exceptional executive communication and stakeholder management skills, with a demonstrated ability to influence at the C-suite and Board level. 

What you will bring: 

• Prior experience as a chief architect or distinguished engineer at a cloud infrastructure company, major database vendor, or hyperscaler. 

• Familiarity with Teradata Vantage architecture, MPP systems, or enterprise data warehousing platforms. 

• Experience managing globally distributed architecture teams and operating across cultural and time zone boundaries. 

• Background in FinOps, cloud cost governance, or commercial engineering (understanding how compute cost flows to product pricing). 

• A track record of building AI-forward engineering cultures—where teams routinely use AI assistants, automated code review, and AI-generated documentation as standard practice. 

• Demonstrated commitment to building diverse, equitable engineering teams with a strong personal brand as a technical leader. 

Why we think you will love Teradata: 

We prioritize a people-first culture because we know our people are at the very heart of our success. We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We focus on well-being because we care about our people and their ability to thrive both personally and professionally. We are an anti-racist company because our dedication to Diversity, Equity, and Inclusion is more than a statement. It is a deep commitment to doing the work to foster an equitable environment that celebrates people for all of who they are. 

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