Senior Data Developer

Build and evolve the Databricks-based data platform used for product features, machine learning, and internal reporting

Design and develop reliable and scalable data ingestion and transformation pipelines

Build platform abstractions and tooling that improve developer experience for data producers and consumers

Build platform capabilities that allow consumers to model raw data into clean, reliable datasets that power both product features and internal analytics

Improve observability, testing, and monitoring to ensure enterprise-grade reliability and performance

Manage and contribute to data governance, security, compliance, and access controls

Contribute to platform standards and architecture as the data platform scales

Collaborate with engineering, machine learning, product, and analytics teams to support their data use cases

5+ years of experience as a data engineer in a modern, production-grade cloud data platform (Databricks or similar equivalent)

Experience operating under ambiguity and making technical tradeoffs that balance velocity and value delivery with maintainability and technical debt

Strong Python and SQL skills

Experience with CDC pipelines

Experience managing CI/CD pipelines and cloud infrastructure using IaC

Experience with event-streaming with Kafka and Flink (or similar data-streaming architectures)

Experience in query optimization, resource allocation and management, cost management, and data lake performance

Experience working in a fast-paced, agile environment