Data Engineering Lead, Customer Success
May 25, 2023
Description
• Architect and implement the data infrastructure for both customer implementations and internal data initiatives Build and scale a best-in-class data engineering teamLead services engagements and drive implementations to deliver & maintain robust customer data pipelinesUnderstand raw data sets and model into customer-friendly dimensions and KPIs Build repeatable processes and offerings based on client implementation patternsServe as a liaison to our engineering and product teams on customer requests and user experience Act as another layer of support for our customers by triaging and helping support our customers, as needed
Requirements
• Hands-on experience in designing, developing, and managing enterprise level database systems with complex interdependencies and key focus on high-availability, cloud migration, security, performance, and scalability• Experience in adtech, e-commerce, marketplaces, or other environments with high volume and high velocity data• Knowledge of database fundamentals and fluency in advanced SQL, including concepts like windowing functions• Deep experience building pipelines with tools like Apache Flink, Apache Beam, Apache Spark, DBT & Airflow with languages like Python and Scala• Working with large-scale, distributed warehouses such as Snowflake, BigQuery, Redshift, or HIVE• Familiarity with messaging systems such as Apache Kafka, Apache Pulsar
Benefits
• Solve real problems• Build on considerable traction: Even as an early-stage company, Rill already has multi-million ARR, investor backing, and excellent customer retention.• Join an inclusive culture: You’ll join a team that is open, works smart, and has fun -- with ample space to make your mark.
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