Business Analytics Architect

Join Much Rack as a Business Analytics Architect, where you'll lead the design and implementation of an AI-first data and analytics architecture. You'll collaborate with various teams to establish scalable architecture, integration patterns, governance, and engineering practices. This fully remote position offers competitive compensation, generous time off, and comprehensive benefits.

- Defining and driving an AI-first data and analytics architecture that modernizes the analytics platform. - Establishing the technical blueprint for a modern data analytics stack supporting Data Ingestion to Snowflake / Databricks, Data Modeling / Semantic Layers. - Collaborating across Data Science, Engineering, Product, and Revenue Operations to establish scalable architecture, integration patterns, governance, and engineering practices.

- We’re looking for a collaborative, self-motivated Analytics Architect to join our Business Data Analytics team - Deep experience with modern cloud data platforms and analytics engineering practices, including Snowflake, Databricks, dbt, Python, and SQL - Experience establishing engineering practices such as automated testing, CI/CD, observability, version control, and reliable deployment patterns for data and analytics systems - Experience designing scalable data models, transformation pipelines, semantic or metrics layers, and integration patterns that enable trusted self-service analytics - Strong knowledge of enterprise data governance, security, privacy, access control, and data quality practices, with experience translating those requirements into practical technical architecture - Experience architecting or implementing AI-enabled data systems, such as natural language analytics, AI agents, Retrieval-Augmented Generation (RAG), vector search, or related LLM-powered data workflows - Strong communication skills with the ability to translate complex data and AI architecture into clear decisions, standards, and technical direction for both technical and business partners - 7+ years of experience designing and evolving modern data and analytics architectures, including responsibility for architectural decisions that span multiple systems, teams, or business use cases - Demonstrated ability to set technical direction, evaluate complex architectural trade-offs, and influence decisions across teams without relying on direct authority - Share knowledge generously and mentor teammates through complex technical and architectural challenges - Approach architecture pragmatically, balancing immediate business needs with scalability, maintainability, security, and long-term platform health - Take ownership of ambiguous, complex problems and create clarity and actionable technical direction - Build alignment across technical and non-technical teams and communicate architectural decisions and trade-offs clearly - Proactively incorporate AI tools into day-to-day work to improve productivity and accelerate delivery - Look for opportunities to create reusable systems, standards, and patterns that increase the effectiveness of other teams - You’ve helped modernize or consolidate a fragmented enterprise data ecosystem into a more cohesive modern data stack - You’ve designed semantic or metrics layers specifically to support AI-powered, conversational, or self-service analytics - You have experience taking AI agents or RAG-based data applications from architecture through production implementation - You’ve developed reusable frameworks, standards, or platform capabilities that increased the effectiveness of analytics and engineering teams - You enjoy mentoring engineers and raising technical standards while remaining an individual contributor - You’re comfortable operating in ambiguous technical environments where the architecture is still being defined and your decisions will influence how teams build for years to come