Principal Software Architect

1.10+ years in software architecture, data engineering, or AI/ML systems, or equivalent demonstrated depth.

2.Bachelor's degree in Computer Science or equivalent professional experience.

3.Track record operating as a software architect across multiple teams or products, not just within a single team.

4. Demonstrated design of production data architectures at scale (e.g., data warehouse, lakehouse, or data platform), using layered patterns such as medallion/bronze-silver-gold where applicable.

5.Hands-on experience architecting applied AI systems (e.g., RAG pipelines, LLM-integrated services) that have shipped to production.

6.Experience building cloud-native applications on a major hyperscaler (AWS, Azure, or GCP), including containerized applications deployed on Kubernetes.

Master's degree in Computer Science or a related field.

Prior cross-product or cross-org architecture role at a similarly sized enterprise software company.

Breadth across data warehousing, lakehouses, data platforms, graphs, and vector technologies, valued over deep specialization in a single area.

Familiarity with data contract/product standards such as ODCS (Open Data Contract Standard) or ODPS (Open Data Product Specification).

Familiarity with data catalog and metadata management tools (e.g., Unity Catalog, Google Cloud Dataplex Universal Catalog, Apache Atlas, or equivalent).

Experience with graph databases and building knowledge graphs.

Experience with vector database technologies and embedding pipelines in production RAG systems (e.g., pgvector, Milvus, or equivalent).

Experience designing streaming data architectures (e.g., Kafka, Flink, Delta Live Tables, or equivalent) alongside batch/medallion patterns.

Experience with agentic AI architecture and interoperability protocols (MCP, A2A) or similar emerging standards.

Familiarity with agentic AI safety patterns, including prompt injection defenses, guardrail design, and PII handling in agentic contexts.

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