Trumid is seeking an experienced data engineer to build and lead the design, architecture, and implementation of scalable and reliable data pipelines that serve as the foundation for all analytics, from BI dashboards to production ML/AI models. This role will take a leadership position in solving the mission-critical challenge of constructing reliable, high-quality data infrastructure to embed intelligence and automation across trading workflows.
Requirements
- 7+ years of hands-on experience designing, building, and productionizing data-intensive systems.
- Expert-level proficiency in SQL and Python, with deep knowledge of data manipulation libraries and backend development patterns.
- Proven track record of architecting, building, and owning mission-critical data systems in a production environment (e.g., data warehouses, data lakes, ETL/ELT pipelines).
- Deep experience with modern batch data processing and orchestration frameworks (e.g., Airflow, Dagster, Prefect).
- Experience with real-time data processing and messaging systems (e.g., Apache Kafka, GCP Pub/Sub).
- Hands-on experience with the infrastructure for ML/AI systems (e.g., feature engineering, model deployment, monitoring).
- Familiarity with the GenAI and LLM ecosystem (e.g., vector databases, retrieval-augmented generation).
Responsibilities
- Lead the design, architecture, and implementation of scalable and reliable data pipelines that serve as the foundation for all analytics, from BI dashboards to production ML/AI models.
- Take ownership of our core data systems, including our cloud data warehouse, ETL/ELT orchestration, and real-time data processing capabilities.
- Drive the technical roadmap to ensure these systems evolve to meet future demands.
- Teach, mentor, and oversee less-experienced engineers, establishing best practices for code quality, testing, and operational excellence.
- Partner closely with Quantitative Researchers, ML Engineers, and business stakeholders to translate their needs into robust, production-grade data solutions.
- Establish and enforce data quality, governance, and observability standards across all data products to ensure their reliability and build trust with all consumers of data.
Other
- Demonstrated experience mentoring junior engineers and leading complex technical projects.
- You are a seasoned data engineering leader who thinks like an owner.
- You have a strong analytical mind, a passion for solving complex problems in a practical setting, and a track record of building systems that stand the test of time.
- You see the bigger picture, from raw data ingestion to the production models and BI dashboards that consume it.
- You excel at mentoring others and are comfortable setting technical direction, driving architectural decisions, and ensuring your team delivers with high standards.
