Rill Data is hiring a
Data Engineering Lead in

Summary

The job is for a Data Engineering Lead at Rill Data, where the employee will architect and implement data infrastructure, manage a team of data engineers, and lead services engagements. The role requires hands-on experience in designing, developing, and managing enterprise level database systems with complex interdependencies.

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
• 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
• Experience working with large-scale, distributed warehouses such as Snowflake, BigQuery, Redshift, or HIVE
• Familiarity with messaging systems such as Apache Kafka, Apache Pulsar

Responsibilities

• Architect and implement the data infrastructure for both customer implementations and internal data initiatives
• Build and scale a best-in-class data engineering team
• Lead services engagements and drive implementations to deliver & maintain robust customer data pipelines
• Understand raw data sets and model into customer-friendly dimensions and KPIs
• Build repeatable processes and offerings based on client implementation patterns
• Serve 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

Preferred Qualifications

Strong candidates have experience in adtech, e-commerce, marketplaces, or other environments with high volume and high velocity data