Principal Data Architect - Battery Storage in Houston

• 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

• 8+ years of experience in data engineering, data architecture, or analytics platform development, with demonstrated ownership of cross-team data standards and models
• Strong expertise in analytical data modeling, including dimensional modeling, semantic layers, and schema design for multi-consumer analytics use cases
• Deep working knowledge of SQL and experience collaborating on or authoring complex analytical queries and models
• Proven experience designing or contributing to analytics platforms built on Snowflake or similar cloud data warehouses using ELT-based architectures
• Experience defining and operationalizing data catalogs, metadata, and shared definitions, including naming conventions, ownership models, and documentation practices
• Experience designing or supporting data governance frameworks, including data quality, ownership, lifecycle management, and schema change management
• Experience supporting application teams on schema design to enable rapid application development and reliable data integration
• Familiarity with analytics engineering practices and tools (e.g., dbt or similar modeling frameworks)
• Proficiency with Python for data analysis, modeling, validation, or prototyping (not limited to production pipeline code)
• Experience partnering closely with data engineers on ELT patterns, schema evolution, and data quality practices
• Experience working with PostgreSQL or compatible systems (including managed services such as AWS Aurora) and understanding how operational schemas interact with analytical models
• Knowledge of AWS data services and cloud- data patterns strongly
• Demonstrated ability to work effectively with data analysts across a wide range of technical skill levels, including analysts with limited engineering backgrounds
• Strong communication skills and a track record of cross-functional collaboration with engineering, analytics, and business stakeholders
• Experience working in environments with large, diverse analyst populations and high data consumption across teams
• Proven ability to deliver incremental architectural improvements while maintaining a clear long-term vision for data consistency and scalability
• Background in energy, finance, trading, or other data-intensive, operationally complex domains

Highly competitive total compensation from one of North America's leading energy storage developers, owners and operators. Flexible, work from home or hybrid work from Plus Power's offices in San Francisco, Houston, Chicago, Seattle, New York, Palm Beach and Birmingham.

The expected salary range* for this position begins at $170,000. We may ultimately pay more or less than the posted range based on several factors including, but not limited to relevant experience, skills, qualifications, geographic labor market, and other factors consistent with applicable law. This position is also eligible to participate in our annual bonus program.

Plus Power offers a competitive and comprehensive benefits program, unlimited vacation, flexible remote work, work from home stipend, educational assistance, parental leave, and a highly engaging company culture with opportunities for in-person connection and learning and growth.

Plus Power is an energy storage market leader, with a market-leading 10+ GW portfolio across more than 25 states that will transform North American electric grids into cleaner and more versatile critical infrastructure. Standalone energy storage is rapidly transforming the North American energy markets, because it is cheaper than new natural gas plants, faster to build than fossil peakers or transmission, and able to perform diverse energy services. Plus Power partners with electricity system operators, utilities, and investors to originate, develop, finance, own and operate standalone energy storage projects that provide critical services to the wholesale electric market. Plus Power's team applies an intentional mindset to energy storage development by using a data-driven approach to development and operations. At Plus Power, we are focused on solving hard climate problems, profitably. We are growing fast, and value candidates who, like us, share a focus on setting high expectations, owning and learning from mistakes in the spirit of radical transparency, and are committed to internal partnering as a key element of our ideas meritocracy. Our team praises Plus Power's culture and excels through our game-changing mission and supportive ecosystem., 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, 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. 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 " 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 long-term 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 long-term architecture.