Director, Data Engineering

Emploi pas sur LinkedIn

🕒 il y a 15 jours

🌐 États-Unis, Canada – Distant

🇺🇸 États-Unis – Télétravail 🇨🇦 Canada – Télétravail

🗽 New York – Distant

🗽 New York – Remote

💵 $200 000 - $230 000 / an

⏰ Temps Plein

🔴 Expert

🚰 Ingénieur Data

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SQUIRE

Site WebLinkedInTous les Emplois

201 - 500 employés

Fondée en 2015

💼 Conseil

📣 Marketing

🏥 Santé

Consulting • Marketing • Healthcare

SQUIRE est un système de gestion tout-en-un pour les barbiers, conçu pour aider les salons de coiffure à attirer et fidéliser les clients, rationaliser les opérations et développer leur activité. La plateforme offre une suite complète de fonctionnalités, incluant la réservation en ligne, les paiements, les rappels de rendez-vous, les codes promo, les programmes de fidélité, les cartes cadeaux et la gestion des listes d'attente. SQUIRE cible à la fois les barbiers et les propriétaires d'entreprises en fournissant des outils pour la planification, la gestion des clients, le marketing, le point de vente, la gestion du personnel et l'analyse. En simplifiant les opérations quotidiennes, SQUIRE permet aux barbiers de se concentrer sur leur métier tout en améliorant l'expérience client et en augmentant les revenus.

Description

• Design, build, and debug the highest-impact pipelines, connecting our business systems, including CRM, billing, and internal platforms to our Snowflake warehouse, in both directions • Own the data strategy and architecture across a multi-year horizon, while maintaining deep, hands-on familiarity with the systems and their edge cases • Establish technical direction and standards for pipeline design, data modeling, and data quality across the org; personally build and ship the highest-risk or most ambiguous work • Build, structure, and lead a growing Data organization of 5+ across Data Engineering, ML Engineering, and Analytics • Own headcount planning, hiring strategy, and budget for the Data organization • Partner with the Chief Product and Technology Officer and cross-functional leaders to translate company strategy into data contracts and platform investments • Lead audits of existing integrations and automations, and determine what should be replaced and how that work should be prioritized • Champion AI and automation enablement company-wide, ensuring agents and LLM use cases are built on a trusted data foundation, while remaining hands-on in building select enablement capabilities

🎯 Exigences

• 8+ years in data or software engineering, including 4+ years managing engineers • Experience building and leading a multidisciplinary data organization (data, ML, analytics, software) of 5+ people • Advanced SQL and Python skills, along with strong MDM fundamentals, with the technical depth to lead by example • Hands-on experience with Snowflake (or equivalent), dbt, and an orchestration tool such as Airflow, Dagster, or Prefect, beyond just an architectural understanding • Direct experience setting AI and LLM enablement strategy and building with LLM tooling • Comfortable operating at Director scope (*owning budgets, advocating for roadmaps, and translating technical tradeoffs for non-technical stakeholders*) while remaining directly involved in technical execution

🏖️ Avantages

• Base Salary ($200,000 - $230,000) + Bonus (15%) • New hire stock grant • 100% employer-paid medical/dental/vision insurance for you and your dependents • 401K plan with company contribution • Generous PTO and Parental Leave policies