Technical Content Creator

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🕒 May 7

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Spiritual Data

WebsiteLinkedInAll Job Openings

1 - 10 employees

🤖 Artificial Intelligence

☁️ SaaS

⚡ Productivity

Artificial Intelligence • SaaS • Productivity

Spiritual Data is an advanced analytics platform that empowers data teams through the use of artificial intelligence to enhance productivity and efficiency. Their tools, such as DataPilot, aim to automate and optimize data management tasks, revolutionizing how data engineering teams operate. By providing AI-driven insights and recommendations, Spiritual Data enables teams to improve their data documentation, quality testing, and query handling, resulting in significant cost savings and operational improvements. The company focuses on aiding analytics, platform, and data engineers by integrating their solutions seamlessly into daily workflows and popular platforms like VSCode, Python, and Slack, offering tools that auto-generate models, conduct tests, and provide documentation. Spiritual Data is a trusted solution among leading enterprises, offering robust security features without compromising on AI functionality.

📋 Description

• Own technical content production across blog posts, long-form articles, tutorials, demo scripts, and use-case write-ups for Altimate Code. • Generate original content ideas based on what's actually happening in the data engineering ecosystem, producing innovative, opinionated, useful content for practitioners • Go deep on the product Install it, run it, break it, understand it. You should be able to write a hands-on tutorial without needing engineering support • Contribute to video and multimedia assets: use-case videos, GIFs for the website, demo walkthroughs. • Support SEO and AEO efforts: write for both human readers and generative search engines • Help build a repeatable content engine: templates, editorial workflow, content calendar, distribution checklist • Distribute: package content for Reddit, LinkedIn, Hashnode, dbt Slack, and our email program

🎯 Requirements

• Hands-on technical depth in the modern data stack. You've worked with at least some of: dbt, Snowflake, Databricks, Airflow, SQL at scale, Python data tooling. You can read a SQL transformation, a YAML model file, or a Python notebook and understand what it's doing • Strong writing chops. You can produce a 1,200-word technical article that a data engineer would actually finish reading, with clear structure, opinionated angle, and no fluff • Ability to learn a product deeply and independently. You install things, you read the docs, you appreciate the ergonomics. • Comfort with AI tools as accelerators. Claude, Cursor, etc. are part of the workflow, but the ideas, judgment, and technical accuracy come from you • Self-directed. You take a brief and ship, you raise blockers early, you don't need daily check-ins, and push content through review proactively

🏖️ Benefits

• Flexible work arrangements