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Business Analytics Architect

Muck Rack
Contract type
Ongoing
Work mode
Remote · Ireland, United Kingdom
Experience
Senior · 7+ years

Job description

Analytics Architect role at Muck Rack, serving as lead architect for Business Data Analytics to define and drive an AI-first data and analytics architecture. The role modernizes the analytics platform and enables new ways for teams to access and interact with data.

At a glance

Employment
Full-time · Employee (employment agreement)
Work mode
Remote · Ireland, United Kingdom
Pay
EUR 110,000 – 150,000 / year

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

What we're looking for

  • 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 systems, such as natural language analytics, AI agents, Retrieval-Augmented Generation (RAG), vector search, or related LLM-powered data workflows
  • Strong knowledge of enterprise data governance, security, privacy, access control, and data quality practices, with experience translating those requirements into practical technical architecture
  • Experience establishing engineering practices such as automated testing, CI/CD, observability, version control, and reliable deployment patterns for data and analytics systems
  • Demonstrated ability to set technical direction, evaluate complex architectural trade-offs, and influence decisions across teams without relying on direct authority
  • Strong communication skills with the ability to translate complex data and AI architecture into clear decisions, standards, and technical direction for both technical and business partners

Nice to have

  • You've helped modernize or consolidate a fragmented enterprise data ecosystem into a more cohesive modern data stack
  • You've designed semantic or metrics layers specifically to support AI-powered, conversational, or self-service 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 where the architecture is still being defined and your decisions will influence how teams build for years to come

Your team

Business Data Analytics

How to get hired

  1. 130 min interview with a member of our Talent Team
  2. 2A 1 hour zoom interview with the hiring manager
  3. 3Peer interviews with several team members
  4. 4Skills Assessment
  5. 5Executive interviews
  6. 630-minute Bar Raiser

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About Muck Rack

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.

Key facts

  • Trusted by 3,000+ companies worldwide
  • Fully distributed team with a permanent remote setup
  • Founder-controlled and growing profitably and sustainably

What they value

  • Inclusive, Customer-First Culture
  • Commitment to equity and valuing diverse perspectives
  • Agile, founder-led company focused on collaboration and innovation