Principal Data Architect - Battery Storage

About the Role

Plus Power recruits outstanding energy industry professionals who are driven to develop, build and operate assets safely and reliably to decarbonize the power markets while growing their careers. Our team looks for data-driven and fact-based mindsets, engaging and collaborative behaviors, and personal growth-focused professionals.

We are looking for a Principal Data Architect to help us turn a fast-growing, multisource data environment into a coherent, trusted, and easytouse 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.

We value directness, meaningful relationships, and transparency: surfacing disagreements early, grounding decisions in facts, and aligning people around shared outcomes even when incentives and perspectives differ. This role sits at the intersection of data architecture, analytics platforms, and data engineering, with a strong emphasis on data modeling, shared definitions, and scalable analytical systems.

A major focus will be evangelizing and operationalizing our data catalog and shared definitions: partnering with stakeholders to name and normalize data assets, build an expressive model of our institutional knowledge, and create a “common language” that scales across many teams and analyst skill levels. You’ll work closely with our Data and Cloud Engineering team on ELT patterns, schema evolution, and durable conventions.

You will balance longterm consistency with rapid learning and iterative delivery. This isn’t an “ivory tower” architecture role, you’ll stay close to the work, prototyping and writing code where it accelerates progress, and building lightweight processes and tooling that make the right way the easy way. Success looks like continuous delivery of visible value: better discoverability, fewer conflicting metrics, and steadily increasing trust while we converge, step by step, on a clear longterm architecture.

• 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 handson 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 Postgre
  
  SQL (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 shortterm progress with a clear longterm architectural vision
• Design high-ingestion pipelines (using tools like Influx
  
  DB, 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…