Customer Delivery Engineer

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TigerData (creators of TimescaleDB)

Site WebLinkedInTous les Emplois

51 - 200 employés

Fondée en 2015

☁️ SaaS

🤖 Intelligence artificielle

Database • SaaS • Artificial Intelligence

TigerData est le créateur de TimescaleDB et propose un service cloud PostgreSQL fiable, conçu pour des workloads haute performance, en particulier en time series et real-time analytics. Avec un focus sur la sécurité et la scalabilité, TigerData prend en charge des applications exigeantes dans de nombreux secteurs en offrant une ingestion de données ultra-rapide, des requêtes complexes et une gestion efficace de très grands volumes de données. Leurs services conviennent aux applications orientées client et sont utilisés par des entreprises leaders dans des secteurs tels que l’IoT, l’IA et la finance.

Description

• Own the hardest part of customer adoption. Ship real results, fast. • Provide customer project delivery. • Implement migrations, data optimizations, and schema designs. • Scope and execute engagements with clear, measurable deliverables. • Fix complex technical problems. • Tune slow queries and configurations. • Write tactical fixes and scripts to unblock customers quickly. • Apply AI to accelerate engineering. • Use copilots (LLMs, AI assistants) to generate query rewrites and test optimizations. • Create reusable AI prompts and delivery playbooks. • Bridge architecture and reality. • Translate reference architectures into customer-specific deployments. • Adapt TigerData features (e.g., Hypertables, Hypercore, continuous aggregates, vector search) to real workloads. • Be the customer’s technical champion. • Own technical success during project delivery. • Escalate to core Engineering only when there’s a product-level gap. • Capture and share knowledge. • Write playbooks, scripts, and internal guides. • Feed learnings back to Product and Engineering.

🎯 Exigences

• Have deep hands-on experience with PostgreSQL — especially SQL tuning, performance optimization, and schema design • Have delivered complex migrations, data transformations, or optimizations in production environments • Are fluent in SQL and Python (or similar scripting languages for data work) • Are comfortable leading technical conversations with customers, especially under pressure • Love using AI tools (copilots, LLMs) to speed up query rewriting, code generation, or problem diagnosis • Communicate clearly and know how to explain tradeoffs to customers in high-stakes moments • Bonus: experience in Implementation Engineering, Integration Engineering, Solutions Engineering, Professional Services, or Technical Consulting

🏖️ Avantages

• Flexible PTO and comprehensive family leave • Fridays off in August 😎 • Fully remote opportunities globally • Stock options for long-term growth • Monthly WiFi stipend • Professional development and educational resources 📚 • Premium insurance options for you and your family (US-based employees)