Tatcha
Sr. Data Engineer, Data Analytics & Reporting
San Francisco, California (HQ) · Senior
Sponsorship not specified$150k-$160kDetected 35 days ago
SQLSnowflakeAirflowdbtData AnalysisData EngineeringData VisualizationLeadership
About the role
- This role blends strategic data leadership, data engineering and reporting experience, and strong business partnership, with accountability for delivering scalable, secure, and consumer & commercial analytics across Tatcha.
Responsibilities
- Architect, build, and optimize scalable enterprise data solutions on Snowflake, ensuring performance, reliability, and security across the data ecosystem.
- Design and maintain modern data warehouse, data mart, and semantic layer architectures that support trusted, business-ready analytics.
- Develop and manage robust ELT/ETL pipelines using FiveTran, dbt, Airflow, and related technologies to deliver high-quality, governed data.
- Create and manage semantic models that standardize business metrics, KPIs, and reporting definitions across the organization.
- Partner with business, analytics, and technology stakeholders to translate complex requirements into scalable data products and self-service analytics solutions.
- Design and deliver executive dashboards, reports, and visual analytics in Power BI that drive strategic and operational decision-making.
- Collaborate with marketing, DTC, Digital Product, Commercial teams, and clean room partners to enable privacy-safe data sharing, audience insights, attribution, and customer analytics.
- Lead data integration and modeling efforts across customer, digital, retail media, advertising, and enterprise platforms to create a unified view of business performance.
- Establish and co-lead the Unilever Prestige Data Governance Council with brand technology leaders to establish data governance and quality frameworks.
- Partner with Security, Privacy, and Legal teams to ensure compliance with data privacy, access controls, retention, and regulatory requirements.
Requirements
- 8+ years of experience in Data Engineering, Analytics Engineering, Business Intelligence, or related fields.
- Deep expertise with Snowflake architecture, performance optimization, security, and data modeling.
- Hands-on expertise with Power BI, including data modeling, dashboard development, and enterprise reporting.
- Advanced SQL skills and strong understanding of data transformation frameworks.
- Strong understanding of data governance, privacy, security, and compliance principles.
- Proven experience building enterprise data warehouses and dimensional models.
- Strong experience designing and implementing semantic models and business metric layers.
- Experience building and maintaining ELT/ETL pipelines using FiveTran and similar data integration platforms.
- Experience working with cloud-based data ecosystems.
- Experience partnering with business stakeholders and translating requirements into scalable data solutions.
- What Success Looks Like - In your first year, you will:
- Elevate Tatcha's Snowflake environment into a trusted, scalable enterprise data platform.
- Establish standardized semantic models and KPI definitions across the organization.
- Deliver executive reporting experiences that drive strategic decisions.
Compensation
- The expected base salary range for this position is $150,000 to $160,000.
Company info
- Tatcha is a skincare brand rooted in timeless Japanese wisdom, offering transformative yet kind-to-skin formulas that marry Japanese botanicals with clinical ingredients.
- Our formulation philosophy is informed by the Japanese concept hinou dokon, which means "skin-mind same root"-an acknowledgement of the powerful connection between the skin and the brain.
- Guided by the mission to care for people through their skin, Tatcha takes a holistic approach to skincare from concept to formulation to clinical evaluation, offering skincare rituals that benefit both skin and mind, while emphasizing the importance of mindfulness to skin health.
This listing is sourced directly from Tatcha's careers page and normalized into a canonical job model.