Business Analytics Architect - Muck Rack

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. We are 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.

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
• Provide technical leadership and mentorship to Analytics Engineers on the team

Requirements

• 7+ years of experience designing and evolving modern data and analytics architectures
• 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 systems, such as natural language analytics, AI agents, RAG, vector search, or related LLM-powered data workflows
• Strong knowledge of enterprise data governance, security, privacy, access control, and data quality practices
• Experience establishing engineering practices such as automated testing, CI/CD, observability, version control, and reliable deployment patterns
• Demonstrated ability to set technical direction, evaluate complex architectural trade-offs, and influence decisions across teams
• Strong communication skills to translate complex data and AI architecture into clear decisions and technical direction

Benefits & Perks

• Fully distributed team with a permanent remote setup
• Home office stipend, phone and internet reimbursement, coworking membership
• Equity opportunities
• Comprehensive health, dental, vision, disability, and life insurance benefits
• 24/7 Virtual Care and Employee Assistance Program
• Quarterly wellness stipend and free Headspace subscription
• 4+ weeks of PTO, plus paid sick and mental health days
• 13 paid holidays
• Up to 16 weeks of fully paid parental leave
• Unlimited access to Coursera and O’Reilly, plus 2 additional L&D PTO days annually