Senior Technical Content Writer – Data Platforms

Responsibilities

Ebooks and Long-Form Guides

• Research, outline, draft, and revise comprehensive guides on Databricks and Snowflake cost management topics (compute optimization, job cluster configuration, Unity Catalog economics, photon efficiency, and similar)
• Structure complex technical material for practitioners who have no patience for surface-level coverage
• Own the full revision cycle: incorporate feedback from internal SMEs and external technical reviewers

Blog Posts

• Produce technical blog posts on Databricks and Snowflake cost and query optimization topics at a pace of 2 or more per month
• Write from observed patterns and specific data rather than marketing assertions
• Adapt posts from longer-form assets or develop standalone pieces tied to product releases, platform updates, or practitioner pain points

Webinar Scripts and Slide Support

• Develop research outlines, speaker scripts, and slide frameworks for live and on-demand webinars
• Collaborate with technical presenters (internal engineers and external practitioners) to shape structure without overwriting their voice
• Ensure accuracy and depth: webinar content goes in front of the same practitioners the written content targets

Cross-Platform Coverage (Unicorn Scope)

• Extend coverage to Snowflake and BigQuery as the content program grows
• Map transferable concepts across platforms without over-generalizing or flattening the technical distinctions that practitioners care about

Qualifications

Required

• 5 to 8 years of technical content experience, with a portfolio that demonstrates depth in data engineering, cloud infrastructure, or adjacent fields
• Demonstrated ability to write for Databricks and Snowflake practitioners: data engineers, analytics engineers, platform engineers, or FinOps specialists
• Hands-on familiarity with Databricks and Snowflake: you understand the platform well enough to write about cluster configuration, job compute, and cost levers without relying solely on documentation
• Ebook and long-form guide experience: not just word count, but structure, pacing, and making dense material readable without dumbing it down
• Comfort operating at senior level: you drive workstreams, set your own research agenda, and flag accuracy issues proactively
• Strong editorial judgment: you know when a draft needs another pass and when it's ready

Strong Preference

• Direct experience writing about BigQuery, or other cloud data warehouse and lakehouse platforms
• Familiarity with FinOps concepts applied to data infrastructure (cloud cost allocation, showback/chargeback, spend optimization)
• Experience writing webinar scripts or technical presentation materials, not just post-event recaps
• Background as a practitioner who moved into technical writing, rather than a generalist writer who learned the terminology

The role requires technical depth, not just technical curiosity. If your strongest work is in cloud vendor blog posts that stay at the 101 level, or in marketing copy that uses platform names without engaging with how the platforms actually work, this isn't the right fit.

It also requires independent output. You'll have access to SMEs and technical reviewers, but the first draft starts with you.

We're building a technical content program to serve data engineers, analytics engineers, and other practitioners who work inside data platforms (Databricks, Snowflake) environments. The content targets people who already know and use the platforms. It has to earn their attention by being technically grounded, specific, and useful in practice.

This role owns a meaningful slice of that program. You'll produce ebooks, long-form guides, blog posts, and webinar materials that help practitioners understand and manage compute costs inside Databricks and Snowflake.