Director of Data Engineering & Analytics, Arcadia

• 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
• Experience with utility data, billing systems, or similar high-volume transactional data is highly valued
• 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
• 12+ years in the workforce with significant experience in data-intensive environments
• You are also a 'doer' and are not afraid to roll up your sleeves
• You have 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
• 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
• Eager to work in a fast-paced, growth setting. Flexible and fluid, you make things work and operate efficiently in a cross-functional environment
• You build and deliver data products. You are outcome driven with strong intuition for business; you pick the practical over the fancy
• Experience with data governance, security, and compliance in handling sensitive customer data

Desirable

• We are seeking a proven Data and Analytics leader to run our data team
• This role will report to the VP of Engineering
• The mission: build and lead an always-on system for analyzing, understanding and improving our products and services while processing millions of utility bills monthly
• You will bring your experience of building, scaling and running a Data and Analytics team at a SaaS company, with deep expertise in handling large-scale data operations and a proven track record of what works at scale
• The role includes crafting scalable approaches to sharing data and analytics across the company
• The leader will promote evidence-based decision-making at Arcadia through ongoing collaborator engagement and will build analytic structures to support this outcome
• 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. Ensure we are thoughtful about what data we collect, growing it where possible and useful, and that we are using it to its full potential
• 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