JOB DESCRIPTION
Job Summary :
As the Director, Data Engineering, you will lead a team that performs a critical function for our direct-response marketing agency : managing the ingestion of donor and transaction data from hundreds of clients into an intricate data ecosystem.
You'll have the responsibility of overseeing our data infrastructure, ranging from on-premise Microsoft SQL Server to Snowflake in AWS, as well as IBM iSeries Db2.
Responsibilities :
- Own the maturation of our ETL pipelines' code development lifecycle
- Oversee the administration of data environment including the data lake, which uses API connectors to sync tens of millions of client data records per day
- Develop, implement, optimize, and support data pipelines in systems such as Knime, dbt and SSIS
- Manage and mentor a team of data engineers and a team of data coordinators
- Drive efficiency and cost-savings by standardizing and unifying technologies, centralizing error reporting, and scaling operations.
- Work closely with internal stakeholders, balancing their expectations with the capabilities of our data environments and capacity of the engineering team.
- Work in collaboration with the product development department to shape the feature and functional needs of new data systems.
- Support CRM data implementations and the data integration needs of CRM customers.
- Oversee monitoring of ETL processes to resolve immediate issues and understand root causes for permanent solutions
Qualifications :
- Extensive experience in data management and data engineering, working with various data models, RDBMSs, and ETL tools.
- Strong proficiency in SQL, with a deep understanding of query optimization, data modeling, and database design.
- Strong background in data transformation, with proficiency in Python and dbt preferred.
- Hands-on experience with data pipeline development in Knime, dbt and SSIS.
- Exceptional leadership, communication, and interpersonal skills.
- Proven ability to quickly gain context, prioritize tasks, and manage urgent needs.
- Experience managing a backlog of work, prioritizing and assigning tasks, and managing team’s capacity
- Experience in managing a data-focused team and a keen ability to nurture their development.
Director of Data Engineering
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