AI Solutions Developer & Data Engineering Analyst

We’re RPA: an independent advertising agency that puts People First. It’s a unique philosophy for a different kind of agency: where we aspire to create work that truly matters to people, for brands that respect and value people, with a team we empower and treat like people. And we do it all in the heart of sunny Santa Monica, California.  

Why You’ll Never Want to Leave

Our People First philosophy means creating a culture where people like you can thrive, do meaningful work, and — we hope — stick around for a while. In an industry known for high turnover, people at RPA seem to recognize the value of an environment that truly wants to support our Associates’ lives and career growth. 

Who You’ll Be Collaborating With

Every day, you’ll be teaming up with a diverse, enthusiastic, multi-disciplinary team of professionals with a smart sense of humor and a strong desire to grow and develop. 

Job Summary

We are seeking a motivated AI Solutions Developer & Data Engineering Analyst to join our team in a hybrid role that combines practical AI solution development with hands-on data engineering support. You'll spend half your time building AI-powered solutions using modern low-code/no-code platforms, and the other half supporting our analytics team with BigQuery data warehouse operations and Domo integrations. This unique position offers exposure to both emerging AI technologies and foundational data engineering practices.

What You’ll Be Working On

AI Solution Development (50%)

• • Build custom AI agents and copilots using Microsoft 365 Copilot Studio, Agent Builder, and Power Platform
  • Create and deploy custom GPTs and AI assistants tailored to specific departmental needs
  • Develop automated workflows integrating AI capabilities into existing business processes
  • Design and refine prompts for optimal performance across different AI models and use cases
  • Document prompt patterns and best practices for team knowledge sharing
  • Configure and customize pre-built AI models for document processing and content generation

Data Engineering & Analytics Support (50%)

• • Write and optimize SQL queries in BigQuery to support analyst requests and reporting needs
  • Maintain and troubleshoot data pipelines between BigQuery and Domo
  • Create and update Domo datasets, dataflows, and ETL processes
  • Assist analysts with complex query development and performance optimization
  • Document data transformations and maintain data dictionary for key tables
  • Monitor data quality and implement basic data validation checks
  • Schedule and automate recurring data refreshes and report generation

Cross-Functional Collaboration

• • Partner with business analysts to understand data requirements and translate them into technical solutions
  • Provide hands-on support for both AI tools and data platform users
  • Create documentation bridging AI solutions with underlying data infrastructure
  • Identify opportunities to enhance analytics workflows with AI capabilities
  • Conduct training sessions on both query writing and AI tool usage

How You’ll Excel In Your Role

• • Bachelor's degree in any field with demonstrated interest in technology, data, or AI
  • 2-4 years of experience in data analysis, IT, or technical role
  • Proficiency in SQL with experience writing complex queries (joins, CTEs, window functions)
  • Hands-on experience with at least one AI platform (ChatGPT, Claude, Copilot, Gemini)
  • Experience with business intelligence tools (Domo, Tableau, Power BI, or similar)
  • Strong problem-solving skills and ability to translate business needs into technical solutions
  • Excellent written and verbal communication skills for working with non-technical stakeholders

Preferred Qualifications

• • Direct experience with BigQuery and Google Cloud Platform
  • Experience with Domo administration, Magic ETL, or Domo Workflows
  • Microsoft Power Platform experience (Power Apps, Power Automate, Power BI)
  • Familiarity with Copilot Studio or similar no-code AI development platforms
  • Basic Python knowledge for data manipulation and API integrations
  • Understanding of data warehouse concepts (dimensional modeling, slowly changing dimensions)
  • Experience with prompt engineering techniques and LLM behavior

Technical Skills

Data Engineering

• • SQL