We are looking for a Principal Data Architect to help us turn a fast-growing, multi-source data environment into a coherent, trusted, and easy-to-use analytical ecosystem. You'll set the strategic north star for how we define, organize, and use data across the company, then drive pragmatic, incremental steps to get us there. This is a highly collaborative role: you'll bring together analysts, engineers, and business stakeholders to establish working standards that are clear, realistic, and adopted in practice.
Requirements
- Define and evolve data architecture standards for analytics and reporting, including data modeling, naming conventions, schema design, and documentation practices across the organization
- Own the data catalog and metadata strategy, partnering with stakeholders to define, name, and organize data assets across multiple domains and source systems
- Collaborate closely with Principal Data Engineering leadership and application engineering teams to align on ELT patterns, Snowflake usage, schema evolution, and analytical data modeling practices
- Contribute hands-on through SQL and Python, developing reference data models, prototypes, templates, and example implementations that demonstrate architectural intent
- Support and enable data analysts by establishing consistent data usage, modeling standards, and shared definitions across a wide range of technical skill levels
- Partner with application engineers on schema design to support rapid application development and reliable integration between operational and analytical data systems
- Support PostgreSQL (including AWS Aurora) and Snowflake data modeling and analytical access patterns in collaboration with platform and database stakeholders
- Establish and promote data governance practices covering data quality, ownership, lifecycle management, and schema change management
- Drive incremental delivery of data architecture improvements, aligning short-term progress with a clear long-term architectural vision
- Design high-ingestion pipelines (using tools like InfluxDB, Timescale, or Snowflake) capable of handling millions of data points per second from globally distributed battery sites
- Ensure data can be seamlessly ingested from various industrial protocols such as Modbus, CAN bus, or DNP3, and translated into standardized cloud formats
- Ensure data architectures comply with grid-specific regulations (like NERC CIP) and mandate on-site data storage for grid resilience
- Help set the vision, roadmap, and communicate the enterprise data strategy for the company
Benefits
- Competitive total compensation
- Flexible work arrangement
- Work from home stipend
- Educational assistance
- Parental leave
- Unlimited vacation
