Data Solutions Architect

🕒 June 1

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MANSCAPED

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2016

💄 Beauty

👥 B2C

🛍️ eCommerce

Beauty • B2C • eCommerce

MANSCAPED is a leading brand in men's grooming, offering a range of products designed specifically for male personal care. Their innovative tools and grooming kits, such as the Lawn Mower® and Beard Hedger®, provide effective solutions for body hair management, while their unique aftercare products ensure a comfortable grooming experience. The brand emphasizes quality, skin safety, and customer satisfaction with a commitment to enhancing men's grooming routines.

📋 Description

• 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

🎯 Requirements

• 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

🏖️ Benefits

• 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