Job Description
About the Role:
We are looking for a Lead Data Engineer & Architect. This is a high-seniority, build-first role for someone who wants to move past traditional business analytics databases and dive deep into real-time data ingestion, telemetry file parsing, and machine learning models.
What You’ll Do:
- Own the Core Data Architecture: Design and build the entire data influx, ingestion layer, and pipeline processing infrastructure from scratch.
- Lead and Coordinate: Act as the senior technical lead coordinating our small, nimble development team (including full-stack and AI/Agent engineers).
- Telemetry Data Processing: Ingest and parse complex racing-telemetry data streams at scale into a clean, optimized, time-series data layer.
- Drive toward Machine Learning: Partner with our AI engineer to transition our proprietary driver-rating models from initial rule-based systems into robust ML models.
- Set Cloud & Tooling Patterns: Evaluate, select, and deploy our core stack (leaning heavily toward Microsoft Azure or AWS).
Technical Toolkit:
- We are looking for a senior profile with a deep background in data engineering, data infrastructure, and system design:
- Data Streaming & Processing: Advanced experience building scalable pipelines using Apache Kafka or similar message brokers.
- Databases: Strong proficiency in PostgreSQL and optimizing databases for time-series analysis.
- Languages & Backend: Deep familiarity with modern backend ecosystems, specifically Node.js and TypeScript.
- Cloud & DevOps: Strong architectural experience with Microsoft Azure (preferred) or AWS, utilizing Docker for containerization.
- Data Visualization: Ability to build quick tracking dashboards using Tableau or Microsoft Power BI to validate data layers and model accuracy.
- AI & Machine Learning: Familiarity with Machine Learning frameworks and Generative AI Tools to effectively collaborate with our dedicated AI team.
Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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