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Data Solutions Architect
MANSCAPEDData Solutions Architect managing MANSCAPED's enterprise data environment and liaising between Analytics and Technology teams. Responsible for data architecture, modeling, and governance standards.
Tech Stack
Tools & technologiesETLSQL
About the role
Key responsibilities & impact- 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
What you’ll need- 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
Comp & perks- 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
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
SnowflakeSQLdata architecturedata modelingETLELTdata warehousingRBACdata governancedata quality
Soft Skills
analytical skillsproblem-solving skillscommunication skillsstakeholder managementcross-functional leadershipsimplifying technical topics