Business Analytics Architect

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

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

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

Approach architecture pragmatically, balancing immediate business needs with scalability, maintainability, security, and long-term platform health

Build alignment across technical and non-technical teams and communicate architectural decisions and trade-offs clearly

Take ownership of ambiguous, complex problems and create clarity and actionable technical direction

Look for opportunities to create reusable systems, standards, and patterns that increase the effectiveness of other teams

Share knowledge generously and mentor teammates through complex technical and architectural challenges

Proactively incorporate AI tools into day-to-day work to improve productivity and accelerate delivery

Below you'll find an outline of the interview plan for this role. Please note that this is what we expect the process to look like; we may ask you for supplemental information or require an additional step before making a final decision.

30 min interview with a member of our Talent Team

A 1 hour zoom interview with the hiring manager

Peer interviews with several team members

Skills Assessment

Executive interviews

30-minute Bar Raiser

This role requires up to 10% travel for team collaboration, customer engagements, and company events. As part of our commitment to building strong connections across our fully distributed team, attendance at our annual company offsite (typically held in Mexico) is expected.

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)

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

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

Note: Benefits and compensation reflect offerings for U.S.-based employees. Support is provided for employees in other locations, in compliance with local laws and regulations.

While we are a fully distributed team, we do have limitations on where we can hire and maintain a list of acceptable working locations based on job function. If we are unable to hire in your current location for the role for which you applied, you will be notified via email. While we enjoy many benefits as a permanently distributed and remote company, we cannot always support relocation or extended travel and have guidelines in place to ensure compliant work away from your designated permanent residence.