Phizenix
Sr. Data Engineer, Data Analytics & Reporting
San Francisco, CA (Onsite) · Senior
Sponsorship not specifiedDetected 23 days ago
SQLSnowflakeAirflowdbtData AnalysisData EngineeringData VisualizationAccessibilityLeadershipCollaborationMentoring
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.
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.
- Experience working with cloud-based data ecosystems.
- Strong understanding of data governance, privacy, security, and compliance principles.
- Experience partnering with business stakeholders and translating requirements into scalable data solutions.
- 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.
- What Success Looks Like - In your first year, you will:
- Elevate Client'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.
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