Senior Software Engineer, Material Bank

• 5+ years of experience in data engineering or software engineering, with deep expertise in building and scaling batch and streaming pipelines
• Strong proficiency in Python and SQL, with experience writing efficient queries and reusable data transformations
• Expert-level knowledge of dbt (Core & Cloud), including macro development, model testing, documentation, and deployment practices
• Strong understanding of modern data modeling techniques and architecture patterns (e.g., medallion architecture, star/snowflake schema)
• Experience developing custom hooks/operators in Apache Airflow for orchestration
• Proficiency in working with cloud platforms (preferably AWS) and cloud-native data infrastructure

Desirable

• Design, build, and operate the enterprise data lakehouse using open data stack components: cloud data warehouse storage, orchestration (Airflow), batch processing (dbt Core & Cloud), real-time streaming (Kafka), and OLAP performance layers (ClickHouse)
• Develop and maintain a robust monitoring and observability framework for tracking data pipeline health, performance, and data quality
• Build and manage scalable, testable, and version-controlled data transformation pipelines using dbt and Git-based workflows
• Implement CI/CD pipelines for data workflows to ensure safe and efficient deployments
• Work closely with business stakeholders to gather requirements, support self-service analytics, and ensure the delivery of reliable, high-quality data products
• Design and enforce data contracts, lineage tracking, and documentation standards to promote trust and transparency in the data platform
• Continuously evaluate and adopt new technologies, tools, and open-source frameworks to improve the data engineering ecosystem
• Lead the development and maintenance of our data catalog