Application Guide

How to Apply for Principal Data Architect - Battery Storage

at Plus Power

🏢 About Plus Power

Plus Power is at the forefront of the clean energy transition, specializing in utility-scale battery storage systems that stabilize the grid and enable higher renewable energy penetration. As a remote-first company with a mission-driven culture, you'll work alongside passionate engineers and data experts to directly impact the decarbonization of the power grid.

About This Role

As Principal Data Architect, you will define the data architecture strategy for analytics and reporting, ensuring data consistency and scalability across the organization. Your work will directly enable data-driven decisions for optimizing battery storage operations, trading, and asset management, making you a key driver of Plus Power's technological edge.

💡 A Day in the Life

Your day might start with a stand-up with the data engineering team to review progress on schema migrations, followed by a meeting with business stakeholders to define new data domains for the catalog. Afternoon could be spent designing a dimensional model for battery performance analytics, writing Python prototypes to validate data quality, and documenting architecture decisions for the team.

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🎯 Who Plus Power Is Looking For

  • A seasoned data architect with 8+ years of experience who has owned data architecture standards across multiple teams and domains.
  • Deeply proficient in Snowflake and ELT patterns, with hands-on experience in dimensional modeling and schema design for analytics.
  • Proficient in Python for data modeling, validation, or prototyping, and comfortable collaborating with data engineers and application teams.
  • A strategic thinker who can balance incremental delivery with a long-term vision for data consistency and scalability.

📝 Tips for Applying to Plus Power

1

In your resume, highlight specific projects where you defined data architecture standards (naming conventions, schema design, documentation) and the impact on data consistency.

2

Mention your experience with Snowflake and ELT architectures explicitly, including any work on data catalogs or metadata strategies.

3

Showcase your Python skills with examples of data modeling, validation, or prototyping code (consider linking a GitHub repo).

4

Demonstrate cross-team collaboration by describing how you aligned data engineering and analytics teams on architecture decisions.

5

Tailor your cover letter to Plus Power's mission: connect your data architecture work to enabling renewable energy and grid stability.

✉️ What to Emphasize in Your Cover Letter

["Your passion for clean energy and how your data architecture skills can accelerate Plus Power's mission.", 'Specific examples of defining data standards (naming, modeling, documentation) and their measurable impact.', 'Your experience with Snowflake, ELT, and Python in an analytics architecture context.', 'Your ability to drive incremental improvements while maintaining a long-term strategic vision.']

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🔍 Research Before Applying

To stand out, make sure you've researched:

  • → Understand Plus Power's battery storage projects and how data analytics supports their operations and trading.
  • → Read about the energy industry's data challenges: real-time IoT data, market data integration, and regulatory reporting.
  • → Familiarize yourself with Snowflake's latest features for data sharing, governance, and multi-cloud deployments.
  • → Look into Plus Power's company culture and recent news (e.g., project announcements, partnerships) to show genuine interest.

💬 Prepare for These Interview Topics

Based on this role, you may be asked about:

1 Describe your approach to designing a data catalog and metadata strategy for a multi-domain organization.
2 How would you balance short-term data delivery needs with long-term architectural consistency?
3 Walk us through a time you collaborated with data engineering and analytics teams to align on ELT patterns.
4 Explain your experience with Snowflake: specific features you've used for schema evolution, performance tuning, or cost optimization.
5 How would you model data for battery storage operations (e.g., real-time sensor data, energy trading analytics)?
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⚠️ Common Mistakes to Avoid

  • Applying without tailoring your resume to data architecture and Snowflake/ELT—generic data engineering resumes stand out negatively.
  • Focusing only on technical skills without showing strategic thinking or cross-team ownership.
  • Neglecting to mention Python or providing vague examples—be specific about how you used Python for data modeling or validation.

📅 Application Timeline

This position is open until filled. However, we recommend applying as soon as possible as roles at mission-driven organizations tend to fill quickly.

Typical hiring timeline:

1

Application Review

1-2 weeks

2

Initial Screening

Phone call or written assessment

3

Interviews

1-2 rounds, usually virtual

✓

Offer

Congratulations!

Ready to Apply?

Good luck with your application to Plus Power!

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