ZipRecruiter

Log In

Teradata Marketing Applications
Teradata Marketing Applications

31 Teradata Senior Database Administrator Jobs Hiring Near You

Teradata

Architect, Agentic Databases - 220381

San Diego, CA · On-site +1

$182K - $228K/yr

... 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 ...

Teradata Group

Database Internals Engineer

San Diego, CA · On-site

$120 - $160/hr

Teradata's Autonomous Knowledge Platform activates enterprise intelligence by unifying data ... Senior experts who are available to challenge your thinking, share lessons learned from building ...

Teradata

Senior Staff AI Engineer - 220323

San Diego, CA · On-site +1

$199K - $249K/yr

About Teradata At Teradata, we believe that people thrive when empowered with better information ... Design and implement production grade AI systems using LLMs, embeddings, vector databases, and ...

Teradata Group

Senior Staff AI Engineer

San Diego, CA · On-site

$150 - $180/hr

About Teradata At Teradata, we believe that people thrive when empowered with better information ... Design and implement production‑grade AI systems using LLMs, embeddings, vector databases, and ...

Teradata

Alliance Leader - 220129

San Diego, CA · On-site +1

$257K - $321K/yr

Demonstrated ability to engage and influence senior leadership and C-level executives * Bachelor ... Technical familiarity with databases, enterprise software, and Teradata solutions (preferred)

next page

Showing results 1-20

All JobsTeradata JobsTeradata Senior Database Administrator Jobs

Teradata Marketing Applications Jobs Information

What is it like to work at Teradata?

Teradata is a data analytics company that values innovation, collaboration, and customer satisfaction, fostering a culture of continuous learning and improvement. The company's global teams work together to design, develop, and deliver data management and analytics solutions, often in a fast-paced and dynamic environment that encourages creativity and problem-solving. Working at Teradata may appeal to candidates who are passionate about data and analytics, enjoy working on complex projects, and are motivated by the opportunity to make a meaningful impact in the industry.

What makes Teradata an attractive place to work?

Teradata is a leading global provider of enterprise data warehousing and analytics solutions, recognized for its expertise in helping organizations unlock the value of their data. The company fosters a collaborative and innovative work environment, where employees can engage in cutting-edge projects, share knowledge, and work together to drive business outcomes. By joining Teradata, professionals can tap into a wide range of opportunities for growth, skill development, and making a meaningful impact on the company's mission to help organizations make better decisions with data.

What other companies are hiring for Senior Database Administrator jobs?

What are the most popular jobs at Teradata?

What are the most popular categories at Teradata?

Senior Director, Agentic Database Engineering - 220372

Teradata

San Diego, CA • On-site, Remote

$112K - $152K/yr

Full-time

Re-posted 22 hours ago

Job description

ABOUT THE ROLE
Teradata is building the missing data layer for production AI agents - and this role leads that effort. As Senior Director of Agentic Database Engineering, you will own the technical architecture and delivery of Teradata's Agentic Database: a converged operational database purpose-built to power enterprise-grade AI agents at scale.
You will translate a well-defined product strategy into shipping software, leading an engineering organization responsible for five production-critical Agent Services: Semantic Context Layer, Agent Memory, LLM Cache, Agent Tracer, and Elastic/Ephemeral Compute. You will work directly with the PM and Engg leadership teams to execute a build/OEM/acquire decision and deliver a 2026 early-access launch.
This is a defining infrastructure role at the intersection of Postgres, vector retrieval, agentic AI, and governed enterprise data - inside a company whose decades of trusted enterprise context is an asset no competitor can quickly replicate.
WHY THIS ROLE MATTERS
McKinsey reports that fewer than 10% of enterprises have scaled AI agents to tangible value, with 80% citing data limitations as the primary barrier. Traditional architectures were not designed for the semantic context, durable state, semantic caching, and runtime traceability that production agents require. This role closes that gap and helps build an engine for the same.
WHAT YOU WILL BUILD
You will architect and deliver a foundational data engine layer that forms the Teradata Agentic Database capabilities:
  • Agent Memory - durable short- and long-term memory for conversations, session state, checkpoints, and shared context, enabling reliable multi-agent coordination and warm-start recovery.
  • LLM Cache - semantic similarity caching that eliminates redundant LLM calls on repeated agent queries, reducing token costs and response latency at scale.
  • Agent Tracer - end-to-end observability across every prompt, tool call, and hand-off, with a lineage graph that makes agentic decision-making explainable and auditable.

KEY RESPONSIBILITIES
TECHNICAL LEADERSHIP & ARCHITECTURE
  • Define and own the end-to-end technical architecture of the Teradata Agentic Database, establishing Postgres as the operational foundation with pgvector, HNSW, full-text search, JSONB, MVCC, CDC pipelines, and serverless branching.
  • Design and validate a reference architecture against live customer workloads

TEAM BUILDING & ORGANIZATIONAL LEADERSHIP
  • Recruit, hire, and develop a high-performing senior engineering organization specializing in serverless databases, vector retrieval, agent frameworks, and distributed systems.
  • Set engineering culture: high technical bar, production-first discipline, clear velocity targets, and tight product-engineering partnership.
  • Lead engineering managers and individual contributors across multiple concurrent workstreams on an aggressive 2026 launch timeline.

PRODUCT-ENGINEERING EXECUTION
  • Partner with Product Management to translate the Agentic Database PRD into a phased engineering roadmap with milestones
  • Drive engineering decisions informed by the three core personas: Agent Developer, Data Architect, and Admin - prioritizing concurrency, governed access, production reliability, and observability.
  • Own architecture choices for agentic workload patterns: bursty parallelism, branch-on-demand isolation, LLM-generated SQL safety, stateful session continuity, and warm-start performance.

ECOSYSTEM & PLATFORM INTEGRATION
  • Integrate the Agentic Database with Teradata Fabric, Teradata Context Engine, and the Enterprise MCP/AgentStack platform, enabling seamless analytical and operational query capabilities on a single governed platform.
  • Build CDC pipelines between the operational Postgres layer and Teradata's OLAP analytics engine for unified query coverage.
  • Ensure compatibility with leading agentic frameworks - LangChain, LangGraph, OpenAI Agents SDK, AutoGen - and the MCP tooling ecosystem.

REQUIRED QUALIFICATIONS
CORE OLTP & DATABASE ENGINEERING
  • Deep expertise in relational database internals: query optimizer design (cost-based planning, statistics, cardinality estimation, join ordering), storage engines, buffer pool management, and transaction processing.
  • Hands-on experience building or extending a production OLTP database engine - Postgres, MySQL, or equivalent - including WAL, MVCC, lock management, and recovery subsystems.
  • Proficiency with Postgres internals and extensions: pgvector, pg_trgm, custom access methods, index types (HNSW, IVFFlat, GIN, BRIN, GIST), and connection pooling (PgBouncer, Pgpool-II).
  • Experience with serverless database architectures, copy-on-write branching, and scale-to-zero compute - including familiarity with Neon, Supabase, PlanetScale, or equivalent platforms.
  • Strong command of distributed systems fundamentals: consensus protocols, replication topologies, isolation levels, CDC, and exactly-once semantics.

LEADERSHIP & DELIVERY
  • 20+ years of engineering experience, including 10+ years leading senior engineering teams building and operating production data systems at enterprise scale.
  • Track record shipping production database or data infrastructure products to enterprise customers under strict governance, compliance, and SLA requirements.
  • Proven ability to recruit, retain, and grow senior-level engineering talent in a competitive market.
  • Executive-level communication skills: able to distill complex architectural trade-offs into clear board-level narratives, written and verbal.

AI & AGENTIC WORKLOADS
  • Production experience with vector retrieval systems (pgvector, Pinecone, Weaviate, Qdrant) for RAG, semantic search, or LLM caching applications.
  • Familiarity with agent orchestration frameworks - LangChain, LangGraph, OpenAI Agents SDK, AutoGen - and the Model Context Protocol (MCP) ecosystem.
  • Practical understanding of agentic workload patterns: bursty parallelism, stateful session continuity, LLM-generated SQL safety, and branch-on-demand isolation.

PREFERRED QUALIFICATIONS
  • Prior experience at a database startup or as a founding/senior engineer leader of a data infrastructure product.
  • Background in enterprise data warehousing, OLAP systems, or hybrid OLTP/OLAP architectures.
  • Bachelors, Masters, or PhD in Computer Science
  • Deep, expert knowledge of Postgres (WAL, extensions, configuration, replication, etc) and/or other OLTP (SQL/NoSQL) systems
  • Comfortable navigating large, complex codebases and leading cross-team architecture efforts.
  • A track record of driving projects from concept to production with measurable impact.
  • Excellent communication skills and the ability to influence across engineering and product organizations.

ABOUT TERADATA
Teradata is the cloud analytics and data platform company that powers the enterprise intelligence behind the world's most demanding workloads. With decades of governed enterprise data, a True Hybrid Multi-Cloud architecture spanning AWS, Azure, and GCP, and the industry's deepest expertise in large-scale analytical SQL, Teradata is uniquely positioned to become the production data infrastructure for enterprise AI agents. The Agentic Database initiative is a company-defining investment - and this role sits at its center.
Teradata is proud to be an equal opportunity employer. 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. If you require accommodations during the interview process, please let your recruiter know and we will work with you to meet your needs.

Apply