Data Solutions Architect

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MANSCAPED

WebsiteLinkedInAlle Stellen

201 - 500 Mitarbeiter

Gegründet 2016

💄 Schönheit

👥 B2C

🛍️ eCommerce

Beauty • B2C • eCommerce

MANSCAPED ist eine führende Marke im Bereich der Männerpflege und bietet eine Vielzahl von Produkten, die speziell für die persönliche Pflege von Männern entwickelt wurden. Ihre innovativen Werkzeuge und Pflege-Sets, wie der Lawn Mower® und Beard Hedger®, bieten effektive Lösungen für das Management von Körperbehaarung, während ihre einzigartigen Aftercare-Produkte ein angenehmes Pflegeerlebnis gewährleisten. Die Marke legt Wert auf Qualität, Hautsicherheit und Kundenzufriedenheit und verpflichtet sich dazu, die Pflegeroutine von Männern zu verbessern.

Beschreibung

• Own the architecture and evolution of MANSCAPED’s Snowflake environment • Establish and enforce data modeling standards across core business domains • Design schemas, datasets, and views that support BI, analytics, reporting, and AI use cases • Develop and maintain complex SQL queries, stored procedures, and performance-optimized data structures • Optimize Snowflake performance, warehouse utilization, and cost management • Approve schema changes, RBAC changes, Snowflake architecture changes, and material pipeline modifications • Define and implement the enterprise RBAC model within Snowflake across business functions • Partner with Technology, Infrastructure, Security teams and Analytics stakeholders • Establish standards for row-level security, masking policies, PII handling, and permission-aware data availability • Proactively surface risks related to access, governance, data quality, and warehouse spend • Design and oversee data pipeline architecture standards • Serve as the Analytics-side technical lead for ETL/ELT requirements

🎯 Anforderungen

• 10+ years of experience in data architecture, analytics engineering, data warehousing, data platform leadership, or enterprise data solutions • Deep hands-on experience with Snowflake, including architecture design, schema development, performance optimization, RBAC, views, SQL, and stored procedures • Strong experience building and scaling modern data warehouse and ETL/ELT environments • Experience designing robust data models for BI, analytics, executive reporting, and cross-functional business use • Proven ability to establish data governance, access control, and data quality frameworks • Experience partnering with Technology, Security, Infrastructure, BI, and business teams • Strong understanding of data pipeline architecture, source-system mapping, transformation logic, and downstream reporting needs • Familiarity with AI-ready data architecture and AI-assisted analytics workflows • Experience with consumer, Ecommerce, retail, or omnichannel data environments • Strong analytical, debugging, and problem-solving skills • Ability to simplify complex technical topics for non-technical stakeholders • Excellent communication, stakeholder-management, and cross-functional leadership skills

🏖️ Vorteile

• 20 accrued vacation days per year • 40 hours of paid sick leave annually • 3 paid mental health days • 9 paid holidays • Paws & Claws coverage for pets • Comprehensive life insurance, AD&D and long-term disability coverage • Comprehensive medical, dental, and vision insurance plans • Health Savings Accounts (HSA) and Flexible Spending Accounts (FSA) • Accident and critical illness plans • Employee 401(k) plan and company match • Monthly utility allowance for Wifi and phone usage • Generous discount on products • Wellness challenges to promote health • Paid parental leave • Recognition initiatives to acknowledge hard work • One paid volunteer day per year • Certified Great Place to Work with opportunities for advancement