Inception Point AI - Lead Data Engineer
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Requirements
• Technical Mastery: Complete mastery of SQL and Airflow, along with a high proficiency with Python. • Technical Mastery: • Cloud Infrastructure: Deep familiarity with typical frameworks for cloud-based data storage and management. • Cloud Infrastructure: • High-Volume Experience: Proven track record of working with very large datasets and high transaction volumes. • Analytical Rigor: Ability to perform at least basic analysis on data, identifying issues, transforming datasets, and looking at information from multiple perspectives. • Analytical Rigor: • Communication: Strong "people skills" with a genuine interest in interviewing stakeholders to understand the business questions they need the data to answer. • Communication: • Success in the First 90 Days • 30 Days: Complete deep-dive "Atlas" knowledge transfer with our Lead Engineer; interview key stakeholders/executives to understand their data "blind spots". • 30 Days: • 60 Days: Establish a prioritized roadmap for new data collection and ingestion health improvements. • 60 Days: • 90 Days: Deliver the first iteration of a self-service dashboard and initiate the first "customer-ready" data transformation for licensing. • 90 Days:
Responsibilities
• System Ownership & Evolution: Partner with the engineering team to lead the knowledge transfer of "Atlas" (built in Python), taking full architectural ownership and ensuring its continued health and progression. • System Ownership & Evolution: • Data Ingestion & Health: Using Apache Airflow to manage and optimize the daily ingestion of analytics from multiple disparate sources (social media, podcast platforms, etc.) to ensure a clean, reliable, and "healthy" data stream. • Data Ingestion & Health: • Strategic Data Discovery: Act as a "data detective" to identify what information we are missing and prioritize new data collection that aligns with our financial stability and growth levers. • Strategic Data Discovery: • Self-Service Enablement: Build and maintain intuitive dashboards (e.g., Power BI or custom builds) that allow non-technical peers to answer basic everyday questions without needing manual engineering support. • Self-Service Enablement: • Data Productization: Transform raw data into structured, "customer-ready" packages to support our heavy push into data licensing. • Data Productization: • Build vs. Buy Advisory: Utilize your knowledge of the media analytics landscape to guide the organization on whether to build custom internal tools or leverage existing 3rd-party social media analytics solutions. • Build vs. Buy Advisory:
Benefits
• $110K – $165K • Offers Equity • Inception Point AI is a media-tech company building the next generation of AI-powered personalities, shows, and content brands. We blend cutting-edge AI tools with storytelling, design, and production discipline to create scalable, high-quality content across YouTube, social platforms, and podcasts. Our work sits at the intersection of creativity, automation, and entertainment — and we’re building systems that allow great ideas to move fast. • This is a rare opportunity to move beyond being a "cog in the machine" and instead become the founding architect of a data-driven media engine. You aren't just maintaining legacy systems; you are taking a high-potential prototype and building the "source of truth" for the entire company. • You will have the creative freedom to find the "hidden gems" in our data—uncovering audience behaviors that directly influence content creation and revenue. Your work will also directly transform from a back-end utility into a front-facing product, giving you the unique experience of building a commercialized data offering from the ground up in the fast-evolving creator economy.
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