Staff Data Engineer
About the Role
A company is looking for a Staff Data Engineer to serve as the technical architect for their next-generation data platform. Key Responsibilities Lead the design and construction of a next-generation data warehouse optimized for efficiency and performance Build and maintain robust data pipelines for real-time ingestion from large-scale production transactional databases Develop real-time data transformation layers to ensure the data warehouse reflects live business activity Required Qualifications 5+ years of data engineering experience in a high-growth SaaS environment Expert-level experience with message brokers and streaming platforms such as Apache Kafka or Amazon Kinesis Proficiency with real-time and batch transformation tools, specifically dbt and Apache Flink or Spark Streaming Deep architectural knowledge of Snowflake, including experience with Snowpipe and change data capture Mastery of SQL and Python for building automated, scalable data movement and transformation workflows
Responsibilities
- Lead the design and construction of a next-generation data warehouse
- Build and maintain robust data pipelines for real-time ingestion
- Develop real-time data transformation layers
Qualifications
- 5+ years data engineering experience
- Expert-level experience with Kafka/Kinesis
- Proficiency with dbt and Flink/Spark Streaming
Required Skills
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