- Own the design and evolution of our end-to-end data architecture, ensuring scalability, reliability, and long-term maintainability
- Define and implement data modeling standards, including domain models, schemas, and data contracts across the organization
- Architect and optimize modern data pipelines (batch and real-time), ensuring robust and high-quality data flow across systems
- Build and evolve our core data platform (warehouse/lakehouse), balancing performance, cost, scalability, and simplicity
- Establish strong data quality, observability, and governance practices to ensure trusted and consistent data across the company
- Translate complex business requirements into scalable and well-structured data architectures
- Collaborate closely with Product, Engineering, and Leadership to align data architecture with product and business strategy
- Enable self-serve analytics by designing clean, well-structured datasets and semantic layers
- Leverage automation and AI where it meaningfully improves data engineering efficiency, reliability, or insight generation
- Continuously evaluate and introduce modern data technologies, patterns, and best practices
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