Business Analytics Architect

Muck Rack is trusted by thousands of organizations around the world to understand how their brands show up across news, social media and AI-generated answers.

Our AI-powered platform connects the entire PR workflow in one place, helping communications teams manage media relationships, understand the conversations shaping their brands, take action and measure their impact. Combined with analyst-led Media Intelligence and advisory services, Muck Rack turns signals into insights and insights into action.

Founder-controlled and growing  profitably and sustainably, we have the freedom to build forward-thinking products, put our customers first, and offer an inclusive culture that welcomes diverse perspectives.

We’re looking for a collaborative, self-motivated Analytics Architect to join our Business Data Analytics team.

Reporting to the VP, Analytics, you’ll serve as the lead architect for Business Data Analytics, defining and driving an AI-first data and analytics architecture that modernizes our analytics platform and enables new ways for teams to access and interact with data.

You’ll establish the technical blueprint for a modern data analytics stack supporting Data Ingestion to Snowflake / Databricks, Data Modeling / Semantic Layers (dbt, Python, SQL), Natural Language Analytics (Agents), Data Activation (rETL, System to System), and Self-Service Analytics (BI Tools). You’ll collaborate across Data Science, Engineering, Product, and Revenue Operations to establish scalable architecture, integration patterns, governance, and engineering practices that enable trusted data and AI-powered analyticsacross the business.

What You’ll Do

• Define and drive the target architecture for an AI-first enterprise data and analytics platform, establishing the technical direction and patterns needed to modernize and consolidate the analytics technology stack
• Architect scalable data infrastructure, ingestion and transformation frameworks, storage models, and integration patterns across Snowflake, Databricks, dbt, Python, SQL, and related systems
• Design governed semantic data layers and the supporting architecture for AI agents, natural language querying, conversational analytics, and other AI-powered data experiences
• Establish architecture patterns for retrieval, APIs, and integrations that allow AI agents and applications to securely discover, understand, and interact with trusted enterprise data
• Lead the evolution of data governance, security, privacy, access control, and compliance patterns across the analytics stack, balancing accessibility with appropriate safeguards
• Establish and champion engineering standards for data modeling, testing, observability, CI/CD, documentation, deployment, and system integration, improving the reliability and maintainability of the analytics platform
• Provide technical leadership and mentorship to the Analytics Engineers on the team