Director, Data Engineering & Analytics

• Build, lead, and scale a successful data organization
• 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
• 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

• 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 modern data stack: dbt for transformation, Hex for analytics, and Fivetran/Airbyte for data ingestion
• Have built and led Data & Analytics teams at high-growth SaaS companies, specifically those dealing with high-volume data processing
• Experience with utility data, billing systems, or similar high-volume transactional data is highly valued
• 12+ years in the workforce with significant experience in data-intensive environments
• Top-notch technical skills covering both data and quantitative techniques: data facility, descriptive analytics, and predictive modeling
• 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
• Knowledge of cloud platforms (AWS, Azure, or GCP) and their data services
• Experience with orchestration tools (Airflow, Dagster, or similar)
• Background in energy, utilities, or sustainability sectors

competitive benefits and equity component to the package