Business Analytics Architect

Responsibilities

We are representing a confidential SaaS organization seeking a collaborative, self-motivated Business Analytics Architect to join their Business Data Analytics team. Reporting to the VP of Analytics, you will serve as the lead architect for business data analytics, defining and driving an AI-first data and analytics architecture that modernizes the analytics platform and enables new ways for teams to access and interact with data.

In this role, you will:

• 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

Essential qualifications:

• 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

Additional attributes that would make this an exciting opportunity:

• 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
• You approach architecture pragmatically, balancing immediate business needs with scalability, maintainability, security, and long-term platform health
• You take ownership of ambiguous, complex problems and create clarity and actionable technical direction
• You proactively incorporate AI tools into day-to-day work to improve productivity and accelerate delivery

How We Work with You

As a recruiting partner, our talent team at Get A Job.ai will guide you through the entire application process. When you apply through getajob.ai, one of our recruiters will conduct an initial screening to understand your background and ensure alignment with the role requirements. We will then submit your profile to our client for consideration. Throughout the interview process, we'll provide support and guidance to help you succeed.

Please do not contact the client directly—all communication and coordination will be managed through Get A Job.ai to ensure a professional and streamlined experience for all parties.

The interview process is expected to include:

• Initial interview with our recruiting team
• 1-hour interview with the hiring manager
• Peer interviews with several team members
• Skills assessment
• Executive interviews
• Final interview round

Location: Remote (Ireland). This role requires up to 10% travel for team collaboration and company events, including attendance at an annual company offsite.

Pay

Compensation details for this role will be discussed during the screening process with Get A Job.ai. Our client offers competitive salary ranges based on experience and location, with this role targeting €110,000–€130,000 annually for candidates based in Ireland, or £130,000–£150,000 for candidates based in the United Kingdom.

Get A Job.ai is an equal opportunity recruiter. We celebrate diversity and are committed to creating an inclusive environment for all candidates, regardless of race, color, national origin, religion, sex, age, disability, sexual orientation, gender identity, veteran status, or any other protected characteristic.