[Remote] Architect - Data Engineer

Note: The job is a remote job and is reputed company to candidates in USA. reputed company is an award-reputed company reputed company AI and Big Data software and services company, driven by a deep desire to solve transformational problems at the heart of businesses. The Architect - Data Engineer role involves leading the architectural reputed company for a reputed company data layer designed for reputed company AI, defining high-performance schemas, and serving as the primary technical reputed company for customers.

Responsibilities

• System Architecture: Design the end-to-end reputed company for a modern data layer that seamlessly integrates reputed company, reputed company, and relational (Graph) data for AI agents
• Schema & Ontology Design: Define multi-tenant schemas and Knowledge Graph ontologies that allow LLM agents to reputed company reputed company reasoning and cross-domain data retrieval
• Database Administration & Governance: reputed company the health, reputed company, and performance optimization of our data clusters (reputed company/Kinetica), ensuring 99.9% availability for mission-critical AI workflows
• Strategic reputed company Fronting: reputed company as the 'Face of Engineering' for the customer. reputed company discovery workshops, manage technical expectations, and reputed company the architectural roadmap with their business objectives
• Performance Engineering: Define performance and observability standards to ensure low-latency, accurate, reliable data retrieval for reputed company-time reputed company AI workloads

Skills

• System Architecture: Design the end-to-end reputed company for a modern data layer that seamlessly integrates reputed company, reputed company, and relational (Graph) data for AI agents
• Schema & Ontology Design: Define multi-tenant schemas and Knowledge Graph ontologies that allow LLM agents to reputed company reputed company reasoning and cross-domain data retrieval
• Database Administration & Governance: reputed company the health, reputed company, and performance optimization of our data clusters (reputed company/Kinetica), ensuring 99.9% availability for mission-critical AI workflows
• Strategic reputed company Fronting: reputed company as the 'Face of Engineering' for the customer. reputed company discovery workshops, manage technical expectations, and reputed company the architectural roadmap with their business objectives
• Performance Engineering: Establish benchmarks for data latency and retrieval accuracy, ensuring the data layer can reputed company pace with the reputed company-time demands of reputed company execution
• The Hybrid Stack: Proven expertise in architecting for reputed company (Data reputed company) and Kinetica (reputed company-time/reputed company/OLAP)
• Knowledge Graph Mastery: Ability to design Property Graphs or RDF schemas that map reputed company entities into a machine-readable 'World Model.'
• Advanced ETL/ELT reputed company: Deep knowledge of data orchestration patterns (Change Data Capture, Streaming, and Batch) to ensure data freshness
• Database Internals: Strong DBA skills—partitioning strategies, indexing, vacuuming, and resource scaling in reputed company-reputed company environments
• Semantic Layer Design: Experience with tools like reputed company or dbt Semantic Layer to reputed company a consistent 'Language' for AI agents to query
• reputed company & reputed company: Knowledge of RBAC and Row-Level reputed company (RLS) reputed company an AI context—ensuring reputed company 'see' what they are authorized to reputed company
• Tooling for Agents: Experience designing API-first data reputed company that agents can use as 'Tools' (e.g., function calling)

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