Staff Data Platform Engineer

🕒 July 27

🇺🇸 United States – Remote

⏰ Full Time

🔴 Lead

🚰 Data Engineer

👻 Ghost score 31%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Phoenix Ecommerce Technologies

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2024

🛍️ eCommerce

💳 Fintech

☁️ SaaS

🔥 Funding within the last year

💰 $5M Series unknown on 2025-11

eCommerce • Fintech • SaaS

Phoenix Ecommerce Technologies is an ecommerce infrastructure and payments platform built for high-volume direct-to-consumer (D2C) merchants. It provides a headless, no-code customizable checkout and funnel builder, AI-powered decline recovery and payment routing, tokenized vaulting, subscription and billing management, and analytics to optimize approvals, conversions, and lifetime value. The product emphasizes higher authorization rates, faster wallet-native checkouts (Apple Pay, Google Pay), multi-processor support, and retention automation for subscription and direct-response brands.

📋 Description

• 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

• 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

• 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.