ZipRecruiter

Log In

1

Database Teradata Jobs (NOW HIRING)

TecTammina

Teradata Developer

Windsor, CT · On-site

... database end to end experience Should have strong verbal and written communication skills Should have Data Warehouse background Qualifications Teradata Consulting Transition the work from Teradata ...

Teradata

Database Internals Engineer - 220382

San Diego, CA · On-site +1

$101K - $127K/yr

Database Internals Engineer - Next-Gen Parallel Compute Engine Our Company At Teradata, we believe ... Teradata's Autonomous Knowledge Platform activates enterprise intelligence by unifying data ...

Mintbiz

Teradata Developer

Cupertino, CA · On-site

Teradata Developer Work Location : Cupertino, CA Term : Full Time Permanent Opportunity Job Title ... database, ETL/ELT design and development and should have excellent data analysis skills In-depth ...

ATGS LLC

Teradata Architect

San Jose, CA · On-site

... of Teradata Database optimization techniques • Experience with translating logical models to optimal physical models • Experience advising developers and development teams from design through ...

Sonsoft Inc

Teradata, UNIX

Bellevue, WA

Extensive knowledge of Teradata database, data warehousing and information * management best practices. * Excellent understanding of Teradata architecture. Knowledge of Teradata CLDM will be an ...

ATGS LLC

Teradata Architect

San Jose, CA · On-site

Expert knowledge of Teradata Database optimization techniques Experience with translating logical models to optimal physical models Experience advising developers and development teams from design ...

Sonsoft Inc

Teradata, UNIX Architect

Bellevue, WA · On-site

Extensive knowledge of Teradata database, data warehousing and information * management best practices. * Excellent understanding of Teradata architecture. Knowledge of Teradata CLDM will be an ...

Sonsoft Inc

Teradata consultant

Los Angeles, CA

Good knowledge in Teradata concepts and Logical/physical database design Experience in using Teradata utilities TPT, TPump,BTEQ,fastload, fastexport and multiload. In-depth knowledge of Performance ...

Sonsoft Inc

Teradata consultant

Saint Louis, MO

Good knowledge in Teradata concepts and Logical/physical database design Experience in using Teradata utilities TPT, TPump,BTEQ,fastload, fastexport and multiload. In-depth knowledge of Performance ...

Sonsoft Inc

Teradata consultant

Bellevue, WA

Good knowledge in Teradata concepts and Logical/physical database design Experience in using Teradata utilities TPT, TPump,BTEQ,fastload, fastexport and multiload. In-depth knowledge of Performance ...

Sonsoft Inc

Teradata consultant

Bellevue, WA

Good knowledge in Teradata concepts and Logical/physical database design Experience in using Teradata utilities TPT, TPump,BTEQ,fastload, fastexport and multiload. In-depth knowledge of Performance ...

Sonsoft Inc

Teradata consultant

Rosemead, CA

Good knowledge in Teradata concepts and Logical/physical database design Experience in using Teradata utilities TPT, TPump,BTEQ,fastload, fastexport and multiload. In-depth knowledge of Performance ...

previous pagenext page

Showing results 21-40

All JobsDatabase Teradata Jobs

Database Teradata information

See salary details

$46K

$165K

$243.5K

How much do database teradata jobs pay per year?

As of Aug 5, 2026, the average yearly pay for database teradata in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What are some common challenges faced by database Teradata professionals, and how can they be overcome?

Professionals working with Teradata databases often encounter challenges such as optimizing complex queries, managing large volumes of data efficiently, and ensuring high system availability. Staying current with Teradata's evolving features and performance tuning techniques is crucial. Collaborating closely with data architects, ETL developers, and business analysts helps address data integration and reporting needs. Regular training and leveraging Teradata's support community can also aid in resolving technical issues and advancing your expertise.

What is the difference between Database Teradata vs Database SQL Developer?

AspectDatabase TeradataDatabase SQL Developer
Required CredentialsTeradata certifications, SQL knowledgeSQL certifications, database management skills
Work EnvironmentData warehousing, large-scale enterprise systemsDatabase development, data analysis, application support
Employer & Industry UsageLarge corporations, data analytics firmsIT companies, financial institutions, tech firms

Database Teradata professionals focus on managing large-scale data warehousing systems using Teradata-specific tools, while Database SQL Developers primarily write and optimize SQL queries across various database platforms. Both roles require strong SQL skills and are vital in data-driven industries, but Teradata specialists often work with enterprise data warehouses, whereas SQL Developers may work across multiple database environments.

What are the key skills and qualifications needed to thrive as a Teradata database professional?

To thrive as a Teradata Database Administrator, you need strong SQL expertise, database management skills, and experience with data warehousing concepts, usually supported by a degree in computer science or information technology. Proficiency with Teradata tools, utilities (such as BTEQ, FastLoad, MultiLoad), and relevant certifications like Teradata Certified Professional are highly valued. Analytical thinking, attention to detail, and effective communication help professionals troubleshoot issues and collaborate with stakeholders. These skills ensure optimal database performance, data integrity, and reliable support for business analytics.

What is a database Teradata professional?

Database Teradata professionals are specialists who manage, design, and optimize databases using Teradata, a leading enterprise data warehousing solution. They handle tasks such as database administration, performance tuning, data modeling, and developing queries to support large-scale analytics. These experts are vital in organizations that rely on Teradata for processing and analyzing vast amounts of data efficiently and securely. Their role often involves ensuring data integrity, security, and high availability within the Teradata environment.
More about Database Teradata jobs
What job categories do people searching Database Teradata jobs look for? The top searched job categories for Database Teradata jobs are:
Database Teradata jobs near you
Infographic showing various Database Teradata job openings in the United States as of July 2026, with employment types broken down into 87% Full Time, 8% Part Time, 1% Temporary, and 4% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Senior Director, Agentic Database Engineering - 220372

Teradata

San Diego, CA • On-site, Remote

$112K - $152K/yr

Full-time

Re-posted 8 days 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