This role is for a Senior Software Engineer who will design, implement, and operate globally distributed systems that enable Leo to achieve low single-digit-second query responses within a near real-time analytics layer or lakehouse, and to support agentic AI capabilities on top. You’ll build these systems using the latest AWS technologies and best-in-industry software engineering practices.

Architect and implement a scalable, cost-optimized S3-based Data Lakehouse that unifies structured and unstructured data from disparate sources.

Architect and implement a scalable, cost-performance-optimized OLAP-based analytics layer

Establish metadata management with automated data classification and lineage tracking.

Design and enforce standardized data ingestion patterns with built-in quality controls and validation gates.

Architect a centralized metrics repository that becomes the source of truth for all Leo metrics.

Implement robust data quality frameworks with staging-first policies and automated validation pipelines.

Design extensible metrics schemas that support complex analytical queries while optimizing for AI retrieval patterns.

Develop intelligent orchestration for metrics generation workflows with comprehensive audit trails.

Lead the design of semantic data models that balance analytical performance with AI retrieval requirements.

Implement cross-domain federated query capabilities with sophisticated query optimization techniques.

Architect a globally distributed vector database infrastructure capable of managing billions of embeddings with consistent sub-100ms retrieval times.

Design and implement hybrid search strategies combining dense vectors with sparse representations for optimal semantic retrieval.

Establish automated compliance validation frameworks ensuring data handling meets Amazon's security standards.