- Architect & Lead Data Platform Strategy
Drive the long-term vision for Safe’s data platform: lakehouse architecture, open table formats (Apache Iceberg), data ingestion frameworks, streaming pipelines, and data serving layers.
Evaluate alternative architectures, lead design reviews, and ensure consistency across solutions.
- Operational Excellence & Scalability
Ensure data systems operate at high performance with strong guarantees on data freshness, accuracy, and availability.
Lead efforts in performance tuning, large-scale data handling (billions of records), cost efficiency, and capacity planning.
- Cross-cutting “Horizontal” Ownership
Lead horizontal capabilities such as data ingestion, data modeling, streaming pipelines, data quality, lineage, and data observability.
Drive self-serve data platform capabilities for internal teams.
- Drive Engineering Standards & Best Practices
Establish best practices for data modeling, schema evolution, partitioning, compaction, and pipeline design.
Ensure strong data quality, testing, and reliability standards across the platform.
Mentor senior and staff engineers and elevate overall technical rigor in data systems.
- Collaboration & Influence
Work closely with Product, AI, Security, and Platform leadership to align data architecture with business goals.
Clearly articulate trade-offs, constraints, and design decisions.
From ingestion to transformation to serving — own critical data flows end-to-end and ensure production-grade reliability.
Guide teams through complex data challenges and maintain robustness in production systems.
