Business Analytics Architect

Muck Rack is the leading SaaS platform for public relations and communications professionals. Our mission is to enable organizations to build trust, tell their stories, and demonstrate the unique value of earned media. Muck Rack's AI-powered, comprehensive, and integrated platform streamlines the PR workflow to help businesses generate positive media coverage, monitor mentions to manage brand reputation, and analyze PR's impact on business outcomes.

By combining media database, monitoring, and reporting into one dynamic platform, we empower teams to collaborate seamlessly, pitch effectively, and analyze results faster and more efficiently.

Founder-controlled, fully distributed, and growing sustainably, Muck Rack has received several awards for its unparalleled culture and product from organizations like Inc., Quartz, G2, and Built In. We value resilience, transparency, ownership, and customer devotion, and infuse these values into everything we do.

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 analytics across the business.

• 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

• 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
• Deep experience with modern cloud data platforms and analytics engineering practices, including Snowflake, Databricks, dbt, Python, and SQL
• Experience designing scalable data models, transformation pipelines, semantic or metrics layers, and integration patterns that enable trusted self-service analytics
• Experience architecting or implementing AI-enabled data…