Teradata
From Teradata's careers page
Status: listed on the employer's own careers page when we last checked (daily). Confirm on their site before applying.
What You’ll Do As a Principal Engineer, you will play a key role in designing and delivering highly scalable, next generation Database products within our Database Marketplace.
Our Company
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.
As a Principal Engineer, you will play a key role in designing and delivering highly scalable, next generation Database products within our Database Marketplace. You will work in a technically rich environment with talented peers, contributing to product strategy, architecture, and execution while influencing the evolution of Teradata’s DB capabilities.
Design, architect, develop, and maintain high quality systems, services, and applications with an emphasis on scalability, reliability, and performance.
Collaborate with cross-functional engineers and product partners to shape architecture and consistently deliver end to end features.
Storage layer evolution — Work on page management, durability guarantees, and consistency semantics across disaggregated compute-storage topologies.
Write path and recovery — Extend the logging and recovery subsystem for multi-node and branching workload patterns.
Concurrency and isolation — Build visibility and isolation semantics for non-linear, multi-context execution patterns.
Executor-storage interface — Own buffer management, prefetch behavior, and cost model correctness when storage is remote.
Agentic tooling — Use AI coding agents critically on a large C/C++ codebase. Know where they fail.
Technical leadership — Drive implementation-level decisions across global engineering teams.
You will be part of a high-performing engineering team building core components of Teradata’s AI platform. You will collaborate closely with other engineers, AI/ML specialists, product managers, cloud architects, and partner teams across the company. The role offers opportunities to contribute directly to Teradata’s AI product roadmap and technological direction.
What Makes You a Qualified Candidate
Bachelor’s / Master’s / PhD degree in Computer Science or equivalent from a recognized institution.
15+ years of experience on backend services, distributed systems, or data platform development.
Strong proficiency in C, C++, Rust for development.
Internals experience with PostgreSQL or postgres based relational engine — source-level, not API-level
Deep understanding of the WAL write path, checkpointing, and crash recovery mechanics
Ability to trace and resolve concurrency anomalies through the engine's MVCC implementation
Clear mental model of where traditional storage assumptions live in the executor and buffer manager
Practical experience with AI coding assistants on production systems engineering work
Deep expertise in systems or database engineering, with meaningful time spent inside a relational engine at the source level
Demonstrated contributions to PostgreSQL or an equivalent open-source engine — patches, extensions, or fork-level work
Production experience with storage or replication subsystems under real failure conditions
Comfort operating across distributed teams with high autonomy and low process overhead
A track record of technical decisions that held up — and the judgment to know when to revisit them
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