Arcadia is seeking a Data and Analytics leader to build and lead an always-on system for analyzing, understanding, and improving their products and services while processing millions of utility bills monthly.
Requirements
- You are an expert Data & Analytics leader with demonstrated experience processing and analyzing large-scale datasets (billions of records)
- Deep expertise with Snowflake as a data platform, including performance optimization, cost management, and architecting for scale
- Hands-on experience with our modern data stack: dbt for transformation, Hex for analytics, and Fivetran/Airbyte for data ingestion
- You have built and led Data & Analytics teams at high-growth SaaS companies, specifically those dealing with high-volume data processing
- SQL and Python are a must, with demonstrated ability to write optimized queries for large-scale data processing
- Experience with data governance, security, and compliance in handling sensitive customer data
- Experience with real-time or near-real-time data processing systems
Responsibilities
- Build, lead, and scale a successful data organization; including outstanding managers and individual contributors across Data Analytics, Data Science, and Data Engineering
- Oversee the processing and analysis of several million utility bills per month, ensuring data pipeline reliability, accuracy, and scalability
- Ensure data quality and that we are building our products to give our customers the insight they need to run their business
- Build a multi-year strategy around data infrastructure, enterprise data modeling, and processing capabilities.
- Build a framework for data investments that ensures we are appropriately balancing R&D with products that deliver strong return on investment
- Lead the optimization and evolution of our Snowflake-based data architecture to handle exponential data growth
- Own the enterprise unified data model and architecture that will power all of Arcadia’s applications and use cases
Other
- Build, lead, and scale a successful data organization; including outstanding managers and individual contributors across Data Analytics, Data Science, and Data Engineering
- A strong communicator who uses data narratives to explain the solutions they build
- You have strong process leadership skills, but know when process layers become too heavy
- You are also a 'doer' and are not afraid to roll up your sleeves
- You are business-focused, with a strong tether to real world needs and a focus on solving actual problems rather than areas of conceptual interest
