Job Summary
The Senior Manager of Data Engineering plays a pivotal role in overseeing the data engineering team and ensuring the successful design, execution, and management of data pipelines and infrastructure. This position involves collaboration with various stakeholders to align data engineering initiatives with overall business strategies and objectives.
Responsibilities
- Lead and mentor a team of data engineers, providing guidance and support in their daily activities.
- Oversee the architecture and implementation of scalable data processing systems and ensure data accuracy and availability.
- Collaborate closely with product, operations, and analytics teams to define data requirements and workflows.
- Drive the continuous improvement of data engineering processes and technologies.
- Develop and enforce standards and best practices in data engineering.
- Manage budget and resources related to data engineering projects.
- Stay up-to-date with industry trends and innovations in data technologies.
Qualifications
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- Several years of experience in data engineering or related fields, with a track record of managing teams.
- Proficiency in SQL and familiarity with big data technologies such as Hadoop, Spark, or similar.
- Experience with cloud platforms like AWS, Azure, or Google Cloud.
- Strong problem-solving and analytical skills.
- Excellent communication and interpersonal abilities.
