Senior AI Data Architect & Analytics Engineer (Equity)

BillGO; Fort Collins (CO); On-site; USD 132,800 - 196,500; Full time

Job summary

BillGO in Fort Collins, CO is seeking a Senior AI Data Analytics Engineer to own data models, semantic layers, and AI/RAG patterns that serve Product, Finance, Risk, and Operations. This individual contributor role drives trusted data as the company scales, enabling faster reconciliation and AI-powered insights across teams.

You will architect data solutions across Snowflake, AWS RDS, DynamoDB, and S3, define dictionaries and catalogs, and establish quality and governance standards.

Qualifications

• 5+ years in analytics engineering or data engineering with senior responsibilities.
• Expert SQL and data analytics, able to model complex datasets and design end-to-end data architecture.
• Strong Snowflake data warehousing experience and familiarity with Coalesce transformation frameworks.
• Experience building metrics layers or semantic models used across multiple teams.
• Proficient in ELT pipelines, data orchestration, and Python for data processing.
• Hands-on AI/LLMs applications in production, including RAG and embeddings.
• Track record of technical leadership and mentorship focused on data accuracy and AI outputs.
• Payments/fintech or enterprise SaaS experience preferred.

Responsibilities

• Own architecture and roadmap for scalable data models covering customers, payments, transactions, settlements, and reporting.
• Design data dictionaries, semantic layers, and catalogs powering analytics for humans and AI.
• Establish frameworks for data quality, governance, and testing across the org.
• Partner with Product, Finance, Risk, and Operations to define metrics and enable insights.
• Coach the team on AI tooling, responsible AI practices, and documentation.

Skills

Analytics engineering

SQL

Data modeling

Python

ELT pipelines

LLMs

RAG

Mentorship

Tools

Snowflake

Coalesce

Job description

BillGO in Fort Collins, CO is seeking a Senior AI Data Analytics Engineer to own data models, semantic layers, and AI/RAG patterns that serve Product, Finance, Risk, and Operations. This individual contributor role drives trusted data as the company scales, enabling faster reconciliation and AI-powered insights across teams.

You will architect data solutions across Snowflake, AWS RDS, DynamoDB, and S3, define dictionaries and catalogs, and establish quality and governance standards.