Architecture / architect

At Teradata, we believe that people thrive when empowered with better information. Teradata Autonomous Knowledge Platform activates enterprise intelligence by unifying data, knowledge and business context to achieve tangible outcomes. With Teradata, organizations can provide agents with full context for impact when it matters. Our solution lets businesses connect and scale on premises, in the cloud, or through a hybrid approach. Teradata delivers real business value with AI.
You will own the data plane architecture — the Postgres engine, storage, query execution, WAL handling, extensions— and you will drive the Technical PoC that proves the design against live customer workloads.

DATA PLANE ARCHITECTURE

Define the end-to-end technical architecture of the Agentic Database data plane: Postgres engine configuration, storage model, WAL strategy, MVCC handling, extension framework, and the five Agent Services layered on top.
local-storage, separation of compute and storage, branching and copy-on-write semantics, and how Postgres extensions interact with the custom storage layer.
availability, performance vs. cost, scaling limits, durability guarantees — and document them clearly enough that engineering teams can execute without re-litigating them.
Design the integration architecture between the Agentic Database and Teradata Fabric, Teradata Context Engine, and the Enterprise MCP/AgentStack platform, including CDC pipelines from the operational layer to Teradata’s OLAP engine.
Own the Technical PoC end-to-end: design the test harness, select the representative customer workloads, define the success criteria, run the benchmarks, and produce the written findings that either validate the architecture or trigger a course correction.

Serve as the technical authority in architecture reviews, design discussions, and cross-team dependency resolution — breaking down complex problems and building consensus across engineering, product, and infrastructure teams.
push back on architectures that trade long-term maintainability for short-term velocity.
Mentor senior and staff engineers on database internals, distributed systems design, and production-quality engineering standards.
You will work closely with senior engineering leaders, database kernel and storage engineers, product management, cloud infrastructure teams, and architecture partners across Teradata. This role will be a technical bridge between the core Agentic Database team and adjacent platform teams, including Teradata Fabric, Context Engine, Enterprise MCP, and AgentStack, ensuring the data plane is designed as part of a broader AI-enabled enterprise architecture rather than as an isolated database component.
You will also partner with customer-facing technical teams and selected design partners to validate the architecture against real-world workloads, performance expectations, and operational requirements. Success in this role will depend on building trust across deeply technical stakeholders, aligning teams around clear trade-offs, and helping turn early architectural decisions into a scalable, production-ready foundation for agentic workloads.
A low-ego, experimental mindset who treats AI as a high-trust collaborator in their own work, navigates large complex codebases comfortably, and moves from architecture to working prototype without losing momentum. POSTGRES & DATABASE INTERNALS
You are comfortable reading Postgres source to understand undocumented behavior, trace a performance regression, or evaluate how a patch will interact with the rest of the system.
Systems programming proficiency in C or C++ for data plane work; familiarity with higher-level languages (Go, Python, Ruby) for control plane and tooling work.
B-tree vs. log-structured storage, write amplification, read amplification, space amplification, and how each affects OLTP workload patterns.

ARCHITECTURE & DELIVERY

• 12+ years of industry experience designing, building, and operating large-scale distributed systems, databases, or cloud data infrastructure.
• Demonstrated ability to own an architecture end-to-end: from initial design through technical PoC, production launch, and post-launch iteration — with measurable outcomes at each stage.
• Experience building or evaluating high-availability, multi-tenant database systems in cloud environments, including the control plane concerns: automated failover, backup and restore, upgrade automation, and multi-tenant isolation.
• Strong written and verbal communication — you can write a technical design document that engineers trust and an executive summary that leaders act on.
• BS/MS in Computer Science or a related field, or equivalent depth demonstrated through production work.

Practical understanding of agentic workload patterns: what makes them different from interactive OLTP (bursty parallelism, LLM-generated SQL, stateful session continuity, branch-on-demand isolation) and what database design decisions those patterns require.
Familiarity with the Model Context Protocol (MCP) and major agent frameworks (LangChain, LangGraph, OpenAI Agents SDK) at the level needed to define the integration surface between the Agentic Database and the agent execution layer.

We embrace a flexible work model because we trust our people to make decisions about how, when, and where they work. We do not discriminate based upon race, color, ancestry, religion, creed, sex (including pregnancy, childbirth, breastfeeding, or related conditions), national origin, sexual orientation, age, citizenship, marital status, disability, medical condition, genetic information, gender identity or expression, military and veteran status, or any other legally protected status. We welcome and encourage individuals from all backgrounds to apply and join our team, bringing their unique perspectives and experiences to help us innovate and grow. Starting pay for the successful applicant will depend on geographic location, internal equity, job-related knowledge, skills, and candidate experience. All other permanent roles will be eligible for one of our annual incentive plans, which are based on company financial attainment and individual performance. Employees in this position are eligible to participate in the Company’s benefits programs, which generally include health care, life and disability insurance, retirement savings, and time-off programs. Employees in this position are also eligible to participate in the Company’s comprehensive benefits programs, which include healthcare, life and disability insurance plans, a 401(k)-retirement savings plan, and time-off programs.