Data Solutions Architect

🕒 Junho 1

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MANSCAPED

SiteLinkedInTodas as Vagas

201 - 500 funcionários

Fundada em 2016

🏭 Manufatura

💼 Consultoria

📣 Marketing

Manufacturing • Consulting • Marketing

MANSCAPED é uma marca líder em cuidados masculinos, oferecendo uma gama de produtos especificamente projetados para o cuidado pessoal masculino. Suas ferramentas inovadoras e kits de cuidados, como o Lawn Mower® e o Beard Hedger®, oferecem soluções eficazes para o manejo de pelos corporais, enquanto seus produtos de pós-tratamento exclusivos garantem uma experiência de cuidado confortável. A marca enfatiza qualidade, segurança para a pele e satisfação do cliente, com um compromisso em aprimorar as rotinas de cuidados masculinos.

Descrição

• 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

🎯 Requisitos

• 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

🏖️ Benefícios

• 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