Principal Data Architect - Battery Storage

2 weeks, 3 days ago
Full-time
Lead
Data Science and Analytics
Plus Power

Plus Power

Plus Power develops, owns, and operates utility scale energy storage projects that enhance grid stability and reduce operating costs for electric utility companies.

Electric Utilities
51-250
Founded 2018

Description

  • Define and evolve data architecture standards for analytics and reporting, including modeling, naming conventions, schema design, and documentation.
  • Own the data catalog and metadata strategy across multiple domains and source systems.
  • Partner with data engineering and application engineering teams on ELT patterns, Snowflake usage, schema evolution, and analytical data modeling.
  • Develop reference data models, prototypes, templates, and example implementations using SQL and Python.
  • Establish consistent data usage standards and shared definitions for analysts across varying technical skill levels.
  • Work with application engineers on schema design to support rapid development and reliable operational-to-analytical data integration.
  • Support PostgreSQL, AWS Aurora, and Snowflake data modeling and analytical access patterns.
  • Establish and promote data governance practices for data quality, ownership, lifecycle management, and schema change management.
  • Drive incremental data architecture improvements aligned with a long-term enterprise vision.
  • Design high-ingestion pipelines for battery site data and ensure ingestion from industrial protocols into standardized cloud formats.
  • Ensure data architectures comply with grid-specific regulations and on-site storage requirements.
  • Help define, communicate, and evolve the enterprise data strategy and roadmap.

Requirements

  • 8+ years of experience in data engineering, data architecture, or analytics platform development.
  • Strong expertise in analytical data modeling, including dimensional modeling, semantic layers, and schema design.
  • Deep working knowledge of SQL and experience with complex analytical queries and models.
  • Experience with Snowflake or similar cloud data warehouses using ELT-based architectures.
  • Experience defining and operationalizing data catalogs, metadata, shared definitions, naming conventions, ownership models, and documentation.
  • Experience designing or supporting data governance frameworks, including data quality, ownership, lifecycle management, and schema change management.
  • Experience supporting application teams on schema design and data integration.
  • Familiarity with analytics engineering tools and frameworks such as dbt or similar.
  • Proficiency with Python for data analysis, modeling, validation, or prototyping.
  • Experience working with PostgreSQL or compatible systems, including AWS Aurora.
  • Knowledge of AWS data services and cloud-native data patterns strongly preferred.
  • Strong communication skills and cross-functional collaboration experience.
  • Experience working with large, diverse analyst populations and high data consumption across teams preferred.
  • Ability to deliver incremental architectural improvements while maintaining a long-term vision.
  • Background in energy, finance, trading, or other data-intensive, operationally complex domains preferred.

Benefits

  • Highly competitive total compensation.
  • Salary range begins at $170,000.
  • Eligible for an annual bonus program.
  • Flexible work from home or hybrid work options.
  • Office locations in San Francisco, Houston, Chicago, Seattle, New York, Palm Beach, and Birmingham.
  • Unlimited vacation.
  • Work from home stipend.
  • Educational assistance.
  • Parental leave.

Interested in this position?

Apply directly on the company website

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