[Hiring] Business Analytics Architect @Muck Rack

Role Description

Muck Rack is 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)
• 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.

What You’ll Do

• Define and drive the target architecture for an AI-first enterprise data and analytics platform.
• 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.
• Establish and champion engineering standards for data modeling, testing, observability, CI/CD, documentation, deployment, and system integration.
• Provide technical leadership and mentorship to the Analytics Engineers on the team.

Qualifications

• 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.
• Experience architecting or implementing AI-enabled data systems.
• 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 and influence decisions across teams.
• Strong communication skills with the ability to translate complex data and AI architecture into clear decisions.

Requirements

• You’ve helped modernize or consolidate a fragmented enterprise data ecosystem.
• You’ve designed semantic or metrics layers specifically to support AI-powered 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.

Benefits

• Remote Work, Forever: Fully distributed team with a permanent remote setup.
• Home office stipend, phone and internet reimbursement, coworking membership.
• Virtual and in-person team bonding (lunches, events, competitions).
• Transparent & Fair Compensation: Competitive geo-neutral pay in the U.S.
• Annual reviews to ensure equity and market alignment.
• Standardized bonus or commission structure.
• 401(k) with employer contributions.
• Equity opportunities.
• Comprehensive medical, dental, vision, disability, and life insurance for employees and dependents.
• 100% premium coverage for individuals on high-deductible plans.
• 24/7 Virtual Care and Employee Assistance Program.
• Employer-funded HSA contributions and other pre-tax benefits.
• Quarterly wellness stipend and free Headspace subscription.
• 4+ weeks of PTO, plus paid sick and mental health days.
• 13 paid holidays with the option to swap for personal days.
• Up to 16 weeks of fully paid parental leave.
• Transparent pathways for internal mobility and promotion.
• Bi-annual performance reviews, team workshops, and leadership training.
• Unlimited access to Coursera and O’Reilly.
• 2 additional PTO days annually for learning and development.
• Commitment to equity and valuing diverse perspectives.
• Agile, founder-led company focused on collaboration and innovation.
• Trusted by 3,000+ companies worldwide.