Principal Data Architect
New
P
Plus PowerEnergy Storage
Flexible, work from home or hybrid work from Plus Power’s offices in San Francisco, Houston, Chicago, Seattle, New York, Palm Beach and Birmingham.Full-TimePrincipal
SalaryAt least 170,000 USD per year
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Job Details
- Experience
- 8+ years
- Required Skills
- PostgreSQLPythonSQLSnowflakeData engineeringData modelingdbt
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
- Proven experience designing or contributing to analytics platforms built on Snowflake or similar cloud data warehouses
- Experience defining and operationalizing data catalogs, metadata, and shared definitions
- Experience designing or supporting data governance frameworks
- Familiarity with analytics engineering practices and tools (e.g., dbt)
- Proficiency with Python for data analysis, modeling, validation, or prototyping
- Experience working with PostgreSQL (including AWS Aurora)
- Knowledge of AWS data services and cloud-native data patterns preferred
Responsibilities
- 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
- Establish and promote data governance practices covering data quality, ownership, lifecycle management, and schema change management
- Design high-ingestion pipelines capable of handling millions of data points per second from globally distributed battery sites
- Ensure data architectures comply with grid-specific regulations (like NERC CIP) and mandate on-site data storage for grid resilience
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