Principal Data Architect - Battery Storage

6 hours, 1 minute 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 data modeling, naming conventions, schema design, and documentation practices.
  • Own the data catalog and metadata strategy across multiple domains and source systems.
  • Collaborate with data engineering, application engineering, analysts, and business stakeholders to align on standards, ELT patterns, Snowflake usage, and schema evolution.
  • Develop reference data models, prototypes, templates, and example implementations using SQL and Python.
  • Support analysts by establishing consistent data usage, modeling standards, and shared definitions.
  • Partner with application engineers on schema design to support rapid development and reliable data integration.
  • Support PostgreSQL, AWS Aurora, and Snowflake modeling and analytical access patterns.
  • Establish and promote data governance practices covering quality, ownership, lifecycle management, and schema change management.
  • Drive incremental data architecture improvements while maintaining alignment with the long-term architecture vision.
  • Help set the enterprise data strategy, roadmap, and communication across the company.

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 writing or collaborating on complex analytical queries and models.
  • 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, shared definitions, 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 for 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.
  • Experience partnering with data engineers on ELT patterns, schema evolution, and data quality practices.
  • Experience with PostgreSQL or compatible systems, including managed services such as AWS Aurora.
  • Knowledge of AWS data services and cloud-native data patterns is strongly preferred.
  • Ability to work effectively with data analysts across a wide range of technical skill levels.
  • 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 is preferred.
  • Proven ability to deliver incremental architectural improvements while maintaining a clear long-term vision.
  • Background in energy, finance, trading, or other data-intensive, operationally complex domains is preferred.

Benefits

  • Highly competitive total compensation.
  • Starting salary range begins at $170,000.
  • Eligible for participation in the annual bonus program.
  • Flexible remote work, including work from home or hybrid work.
  • Office options 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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