Remote AI-First Analytics Architect for Modern Data Stack

Muck Rack; United States; Remote; USD 140,000 - 190,000; Full time

Benefits offered by this job

Home office stipend

Health insurance

401(k) with employer contributions

Equity opportunities

Fully distributed remote work

Job summary

Muck Rack is seeking an Analytics Architect to lead the design of an AI-first data and analytics platform. You’ll define the technical blueprint for data ingestion to Snowflake/Databricks, semantic data layers, and AI-powered analytics across the organization.

You will collaborate with Data Science, Engineering, Product, and Revenue Operations to establish scalable architecture, governance, and engineering practices that enable trusted data and AI-powered insights for teams across the business.

Qualifications

• 7+ years of experience designing and evolving modern data and analytics architectures.
• Experience with modern cloud data platforms and analytics engineering practices.
• Experience designing scalable data models and self-service analytics.
• Experience architecting AI-enabled data systems (AI agents, RAG, vector search).

Responsibilities

• Define and drive the target architecture for an AI-first enterprise data and analytics platform.
• Architect scalable data infrastructure, ingestion and transformation frameworks across Snowflake, Databricks, and dbt.
• Design governed semantic data layers and AI-powered data experiences.
• Lead data governance, security, and compliance patterns across the analytics stack.
• Provide technical leadership and mentorship to Analytics Engineers.

Skills

Snowflake

Databricks

dbt

Python

SQL

AI agents

RAG

Job description

Muck Rack is seeking an Analytics Architect to lead the design of an AI-first data and analytics platform. You’ll define the technical blueprint for data ingestion to Snowflake/Databricks, semantic data layers, and AI-powered analytics across the organization.

You will collaborate with Data Science, Engineering, Product, and Revenue Operations to establish scalable architecture, governance, and engineering practices that enable trusted data and AI-powered insights for teams across the business.