Associate Architect - Data Engineer

Quantiphi is an award-winning, AI-First digital engineering and consulting company focused on delivering high-impact Services and Solutions. The Associate Architect Data Engineer will spearhead the structural development of an innovative data layer tailored for Agentic AI, orchestrating hybrid-database environments and acting as the cornerstone for client technical strategy and governance.

Responsibilities:

• Design the end-to-end blueprint for a modern enterprise data architecture encompassing all layers such as Ingestion Management, Lakehouse storage, Transformation & Orchestration, Semantic & Context, Serving & Consumption, Governance, and seamlessly integrating structured, unstructured, and graph data for consumption by AI agents
• Define multi-tenant schemas and Knowledge Graph ontologies that allow LLM agents to perform complex reasoning and cross-domain data retrieval
• Oversee the health, security, and performance optimization of our data clusters (BigQuery/Snowflake/Kinetica), ensuring 99.9% availability for mission-critical AI workflows
• Act as the 'Face of Engineering' for the customer. Lead discovery workshops, manage technical expectations, and align the architectural roadmap with their business objectives
• Establish benchmarks for data latency and retrieval accuracy, ensuring the data layer can keep pace with the real-time demands of agentic execution

Requirements:

• Proven expertise in architecting for cloud lakehouses (BigQuery / Cosmos / Snowflake / Kinetica)
• Expertise with building Vector DBs (Milvus / Qdrant / Cosmos / Azure AI Search)
• Ability to design Property Graphs or RDF schemas that map enterprise entities to serve complex clinical traversal queries
• Deep knowledge of data orchestration patterns (Change Data Capture, Streaming, and Batch) to ensure data freshness
• Strong DBA skills—partitioning strategies, indexing, sharding, vacuuming, and resource scaling in cloud-native environments
• Hands-on experience with vector stores, knowledge graphs, and semantic layer design to enable intelligent agent workflows