Senior Analytics Engineer

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Scenthound

WebsiteLinkedInAll Job Openings

11 - 50 employees

👥 B2C

🧘 Wellness

🔥 Funding within the last year

💰 Private equity on 2025-11

B2C • Wellness

Scenthound is a consumer-focused dog wellness and grooming provider offering a membership-based model for regular hygiene services. They provide a core package of bathing, ear cleaning, nail trimming, and teeth brushing, with add-on services like blow-drying and haircuts. Scenthound emphasizes monthly routines, a 6-point wellness check, and technology-based wellness tracking to keep pet owners informed about their dog's health.

📋 Description

• Design, build, and maintain data models, pipelines, and analytics infrastructure for business intelligence, enterprise analytics, Customer 360, and marketing activation workflows • Own enterprise data marts across Marketing, Product, Finance, Business Development, and Operations • Build and maintain ELT pipelines from MySQL and AWS into Snowflake • Develop tested and documented data models across raw, staging, core, and gold layers • Own and enhance Customer 360, lifecycle, value, and marketing marts • Translate business requirements into data models • Implement data quality tests, documentation, and version control using dbt • Optimize Snowflake performance, warehouse strategy, search optimization, and costs • Support governance through tagging, masking, and secure views • Collaborate on schema design and data ingestion patterns • Build and maintain semantic layers for BI and cross-functional analytics • Ensure data reliability through monitoring, alerting, and SLAs • Support marketing segmentation and activation through CRM and CDP tools • Use Reverse ETL tools to deliver attributes and triggers to downstream systems • Provide technical leadership and mentorship • Contribute to roadmap planning, prioritization, and long-term data strategy

🎯 Requirements

• 6–10+ years in analytics engineering, data engineering, or similar roles • Expert SQL and Snowflake skills, including performance tuning and warehouse optimization • Strong experience with MySQL, AWS (S3, Lambda, EC2, Glue), and Snowflake • Advanced proficiency with dbt, modular modeling, testing, and documentation • Deep experience designing dimensional models, fact tables, and governed semantic layers • Strong understanding of data governance, including PII handling, masking, RLS, and lineage • Experience building or owning Customer 360 or marketing-focused data products • Ability to lead cross-functional projects and influence stakeholders • Strong communication skills and ability to translate technical concepts for business audiences • Experience with CI/CD, Git, and modern development workflows • Preferred: marketing automation or CRM tools • Preferred: Reverse ETL platforms • Preferred: identity resolution, consent models, or SCD2 lifecycle history • Preferred: Python for automation or light data engineering • Preferred: predictive modeling or ML feature pipelines • Preferred: modern data stack tools including Snowflake, dbt, Fivetran, Airflow, Looker, and Power BI

🏖️ Benefits

• Health/Dental/Vision insurance • Paid time off • Company Paid Life and AD&D Insurance • Short Term Disability • 401k with company match • Free Scenthound membership for your dog • In-house training • Clear career path • Attainable advancement