Build and improve the company's data platform, creating trustworthy datasets for business needs.
•As a Senior Data Engineer on the Data Team, you'll build and improve the data platform that the whole company relies on.
•You'll make pragmatic technical decisions based on business needs, balancing speed, correctness, and long-term maintainability.
•Key Responsibilities Build systems that turn complex usage and operational data into trustworthy datasets used for billing, financial reporting, and product decisions.
•Build and operate the data platform and pipelines that power these use cases.
•Own data modeling across the warehouse and set standards for how data is structured as we scale.
•Work directly with stakeholders to understand their problems and deliver reliable data products.
•Design for correctness and observability, building tests, monitoring, and data quality checks.
•Requirements Designed and operated production data platforms, making architectural decisions around ingestion, storage, modeling, orchestration, and reliability.
•Strong data modeling fundamentals with well-developed views on data structure and trade-offs.
•Prioritize business value and make pragmatic trade-offs between speed and quality.
•Comfortable working with ambiguity and driving underspecified problems to production solutions.
•Strong in Python and SQL, experienced with modern cloud data platforms (e.g., BigQuery, Snowflake, Databricks).