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We are seeking a visionary and proven Data and Analytics engineering leader to define the long-term architecture and drive the development of our Data Platform. This role will report to the VP of Engineering. The mission: to architect, scale, and lead a mission-critical, always-on system for enterprise data, driving innovation across our products and services while processing millions of utility bills monthly.
Job Responsibility:
Define the organizational structure and build, lead, and scale a successful data and analytics engineering organization
Drive technical architecture, decisioning, and execution of data and analytics engineering work
Align engineering data investments with company business goals and long-term strategy
Establish and drive department-wide standards for data platform governance and development
Own the cross-organizational data platform development and establish a multi-year strategy around data infrastructure, enterprise data modeling, and processing capabilities
Lead the optimization and evolution of our Snowflake-based data architecture
Own the enterprise unified data model and architecture
Enable data platform development and usage across all R&D
Proactively recognize and remove potential people, process, or technology roadblocks
Requirements:
Expert Data & Analytics leader with demonstrated experience processing and analyzing large-scale datasets (billions of records)
Demonstrated strong judgment and decision-making
Deep expertise with Snowflake as a data platform
Hands-on experience with modern data stack: dbt for transformation, Hex for analytics, and Fivetran/Airbyte for data ingestion
Built and led Data & Analytics teams at high-growth SaaS companies
Experience with utility data, billing systems, or similar high-volume transactional data is highly valued
Strong communicator
Strong process leadership skills
12+ years in the workforce with significant experience in data-intensive environments
Top-notch technical skills covering both data and quantitative techniques
SQL and Python are a must
Business-focused
Eager to work in a fast-paced, growth setting
Experience with data governance, security, and compliance in handling sensitive customer data
Nice to have:
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
What we offer:
Remote first culture - work anywhere in the US
Flexible PTO
12 annual company-wide holidays
10 days of sick leave
Up to 4 weeks of bereavement leave
2 volunteer days off
2 professional development days off
12 weeks of paid parental leave for all parents
Weekly flex time - no internal meetings on Friday afternoons
75-95% employer cost coverage for medical, dental, and vision benefits for employees and dependents