Plus Power develops battery energy storage systems that enable a more efficient and reliable electrical grid.
Principal Data Architect – Battery Storage
Location
United States
Posted
35 days ago
Salary
$170K / year
Seniority
Lead
Job Description
Principal Data Architect – Battery Storage
Plus Power
• 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
Job Requirements
- 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‑native data patterns strongly preferred
- 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 preferred
- 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 preferred.
Benefits
- Highly competitive total compensation
- Flexible, work from home or hybrid work
- Unlimited vacation
- Work from home stipend
- Educational assistance
- Parental leave
- Highly engaging company culture with opportunities for in-person connection and learning and growth.
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