Director, Data Engineering
Summary
The Director of Data Engineering leads the design and strategy of enterprise data infrastructure, overseeing ETL pipelines and data platforms like Snowflake and Databricks. This role focuses on driving data-driven decision-making through scalable architecture, automation, and cross-functional collaboration.
As a Director of Data Engineering, you will be responsible for leading the design, development, and optimization of the organization’s data infrastructure. Your role will include overseeing data architecture, pipelines, integration, and platform management to ensure the availability, scalability, and reliability of data across the enterprise. The Director of Data Engineering will establish the vision and strategy for data engineering, drive innovation, and ensure that data systems align with business goals.
Your responsibilities will include:
- Oversee the development of robust, automated ETL/ELT pipelines to move and transform data from multiple sources. Ensure integration of data across applications, API’s, third-party systems, and databases.
- Ensure timely and accurate delivery of reports and dashboards to stakeholders. Collaborate with business users to define reporting requirements and KPI’s.
- Design and maintain scalable, secure, and data architectures. Oversee implementation of data platforms such as snowflake, Azure Data Factory, and Data Bricks.
- Partner with teams to enable analytical use cases and data-driven decision making.
- Drive operational excellence through automation, DevOps, and continuous integration/deployment. Monitor data processing and reporting performance.
- Use the agile methodology to manage and complete work among the team.
- Develop and execute the enterprise data engineering strategy in alignment with organization objectives.
- Participates in and lead off-hours system upgrades and implementation to minimize customer impact and promote system reliability.
- Provide technical advice to senior IT management or project management, assisting them with high level planning and cost justifications.