Director of Data Engineering JB-3352

You will have the opportunity to design, build, and manage the next generation of our Data Platform, build a data engineering team from the ground up, and manage all data-related aspects of the application.

What You'll Do:

Take a major role in designing, architecting, and selecting technology for the next generation of the Data platform.

You will recruit, establish, and manage a data engineering team responsible for all Datarails data (Customer and business data), including Data Integrity, Data integrations, Pipelines, Data transformation, Data aggregation, Reports, Insights, Events, Monitoring, etc.

You will define working methodology, KPIs for measuring success, and quality control measures.

Design data profiling and monitoring to identify anomalies and maintain data integrity.

Work closely with our AI and data scientists team, responsible for developing algorithms, analytical rules, and LLM/ML data models.

BSc in Computer Science or equivalent.

7+ years of experience as a Data Engineer

3+ years experience as a Data Engineering Manager

Experience in building Data infrastructure.

Experience and familiarity with the following tools:

Big-data query engines (Spark, Databricks, Presto)

Data lakes and data Lakehouse architecture

Familiarity with Azure data stack - advantage.

Experience creating and optimizing big data processes, pipelines, and architectures on cloud-native environments (Spark/Databricks).

Proficiency with SQL, Python, and one of Java/Scala/CPP.

Understanding of how to build robust and reliable solutions

Familiarity with cloud Databases (Snowflake-Advantage)

Have a strong analytical mind with proven problem-solving abilities