Staff Data Platform Engineer

Phoenix Ecommerce Technologies

Staff AI Data Engineer designing and owning the data foundation for Phoenix’s agentic commerce platform. Turning raw commerce events into structured intelligence for operational efficiency.

Posted 7/27/2026full-timeRemote • 🇺🇸 United StatesLeadWebsite

Core Competencies

Role fit

Core Competencies

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Expertise in designing and implementing event-driven architectures and distributed data pipelines, with a strong focus on low latency, correctness, and observability. Proficient in leveraging AI coding agents and modeling transactional datasets to enhance autonomous systems and merchant performance.

Highest-signal resume keywords

Event-Driven ArchitectureDistributed Data PipelinesSQLTypeScript/Node.jsAI Coding Agents

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringSoftware EngineeringEvent ModelingBehavioral Dataset ModelingDecision TraceabilityFeedback Loop DesignCloud-Native SystemsAnalytics DatabasesReplayability DesignCorrectness and Observability

Soft Skills

Startup MindsetOwnership of Ambiguous Domains

Tools & Technologies

AWSGCPClickHouse

Industry Keywords

Agentic CommerceAutonomous SystemsCommerce EventsDecision-Grade Intelligence

Tech Stack

Tools & technologies

AWSCloudGoogle Cloud PlatformJavaScriptNode.jsSQLTypeScript

About the role

Key responsibilities & impact

Design and own the data foundation behind Phoenix’s agentic commerce platform.
Turn raw commerce events into structured, decision-grade intelligence that powers autonomous payment routing, approval probability scoring, checkout optimization agents, and merchant copilots.
Architect the event models, pipelines, and data contracts that allow AI agents to observe, reason, act, and improve in real time.
Design for low latency, high correctness, replayability, and observability.
Define how intelligence is embedded into core commerce behavior and how Phoenix’s systems learn from every transaction to continuously improve merchant performance.

Requirements

What you’ll need

10+ years of professional experience in software and data engineering, working with production systems.
Hands-on experience using AI coding agents in your daily development workflow.
Strong experience building event-driven architectures and distributed data pipelines.
Deep experience modeling transactional and behavioral datasets.
Understanding of data requirements for agentic and autonomous systems - including grounding, feature readiness, decision traceability, and feedback loop design.
Strong SQL and experience with distributed/cloud-native systems (AWS or GCP).
Experience working with analytics databases (ClickHouse).
Experience designing systems that require replayability, correctness, and observability.
Comfort working within a TypeScript/Node.js backend ecosystem.
Startup mindset: comfortable owning ambiguous, high-impact domains.

Benefits

Comp & perks

All In to Win — Operate with urgency, intensity, and a relentless bar for excellence.
A Players Only — Only hire, develop, and keep A players. Protect talent density.
Merchant First — Merchants are why we exist. Every decision measured by merchant impact.
Entrepreneurial Spirit — Move like a Day One company. Fast, scrappy, hungry. Everyone owns.
Execution Over Ego — Best ideas win regardless of source. Status and titles do not matter.