Principal Data Architect - Battery Storage

PlusPower

Location not specified

Full Time

Posted April 28, 2026

From $170k

Energy Storage

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Job Description

The Principal Data Architect at Plus Power is responsible for designing, developing, and maintaining the company's data architecture and analytical ecosystem, ensuring data quality, consistency, and accessibility to support energy storage projects and market operations.

Key Responsibilities

Define and evolve data architecture standards for analytics and reporting
Own and manage the data catalog and metadata strategy
Collaborate with engineering teams on ELT patterns, schema evolution, and data modeling
Develop reference data models, prototypes, and templates through SQL and Python
Support data analysts by establishing data usage standards and shared definitions
Partner with application engineers on schema design for rapid development and integration
Support data modeling and access patterns for PostgreSQL, AWS Aurora, and Snowflake
Establish and promote data governance practices including data quality and lifecycle management
Design high-ingestion data pipelines capable of handling large volumes of data
Ensure data ingestion from industrial protocols and compliance with grid-specific regulations

Requirements

Eight (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 such as dbt or similar modeling frameworks.
Proficiency with Python for data analysis, modeling, validation, or prototyping, including 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).