Responsibilities

Deliver customer projects: 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
Own technical success during project delivery; escalate to core Engineering only when necessary
Capture and share knowledge: write playbooks, scripts, and internal guides; feed learnings back to Product and Engineering

Requirements

Deep hands-on experience with PostgreSQL — especially SQL tuning, performance optimization, and schema design
Delivered complex migrations, data transformations, or optimizations in production environments
Fluent in SQL and Python (or similar scripting languages for data work)
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 explain tradeoffs to customers in high-stakes moments

Experience in Implementation Engineering, Integration Engineering, Solutions Engineering, Professional Services, or Technical Consulting