Senior Data Engineer
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Key skills for this role
About the Role
SiiRA is looking for a Lead Data Engineer & Architect to design and build real-time data ingestion, telemetry file parsing, and ML model infrastructure from scratch. The ideal candidate has deep data engineering experience, expertise in Kafka, PostgreSQL, Node.
Key Skills for This Role
Responsibilities
- Design and build the entire data influx, ingestion layer, and pipeline processing infrastructure from scratch
- Act as the senior technical lead coordinating a small development team
- Ingest and parse complex racing telemetry data streams at scale into a clean, optimized, time series data layer
- Partner with AI engineer to transition proprietary driver rating models from rule based systems into robust ML models
- Evaluate, select, and deploy core cloud and tooling stack (Microsoft Azure or AWS)
Requirements
- Demonstrated experience architecting data pipelines and leading/coordinating small development teams
- Advanced experience building scalable pipelines using Apache Kafka or similar message brokers
- Strong proficiency in PostgreSQL and optimizing databases for time series analysis
- Deep familiarity with Node.js and TypeScript
- Strong architectural experience with Microsoft Azure (preferred) or AWS
- Experience with Docker for containerization
- Ability to build quick tracking dashboards using Tableau or Microsoft Power BI
- Familiarity with Machine Learning frameworks and Generative AI Tools
- Fluent/Professional English proficiency
- Comfortable bootstrapping a product from the ground up to hit a 6 month MVP deadline
- Sim racing or motorsport passion (big plus)
Full Job Posting
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
- 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.
Qualifications & Profile
- Seniority: Demonstrated experience architecting data pipelines and leading/coordinating small development teams in a fast paced environment.
- The 'Founder' Mindset: Comfortable bootstrapping a product from the ground up to hit a 6 month MVP deadline.
- Language: Fluent/Professional English proficiency.
- The Ultimate Differentiator (Big Plus): You are a sim racer or passionate about motorsport / track days. You have hands on experience working with sim racing APIs or building telemetry tools.
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