Sr. Data Engineer, Data Analytics & Reporting

Client is looking for a Sr. Data Engineer to lead the Data Analytics & Engineering function supporting our portfolio. You will define and execute the data and analytics strategy that enables trusted insights, build reporting & analytics that will supports decision-making across business functions across. This role blends strategic data leadership, data engineering and reporting experience, and strong business partnership, with accountability for delivering scalable, secure, and consumer.

Key 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.

• Establish data quality, observability, lineage, monitoring, and governance frameworks that ensure accuracy and trust in enterprise data assets.

• 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.

• Champion engineering excellence through architecture leadership, best practices, mentoring, innovation, and continuous improvement of the modern data platform.

• 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.

Qualifications

• 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.

• Proven experience building enterprise data warehouses and dimensional models.

• Strong experience designing and implementing semantic models and business metric layers.

• Hands-on expertise with Power BI, including data modeling, dashboard development, and enterprise reporting.

• Experience building and maintaining ELT/ETL pipelines using FiveTran and similar data integration platforms.

• 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.

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.

• Expand privacy-safe data collaboration capabilities through clean room integrations.

• Improve data accessibility, quality, reliability, and self-service adoption.

• Create a foundation for advanced analytics, AI, and future data product innovation.