This senior data engineer job description template has 2 pages and is a MS Word file type listed under our human resources documents.
Sample of our senior data engineer job description template:
JOB DESCRIPTION SENIOR DATA ENGINEER Brief Description The position of Senior Data Engineer at [COMPANY NAME] involves leading the design, development, and maintenance of the company's data infrastructure and systems. As a Senior Data Engineer, you will be responsible for architecting scalable data solutions, optimizing data pipelines for performance and reliability, and providing technical expertise to drive data-driven decision-making. You will collaborate with cross-functional teams to define data strategies, mentor junior engineers, and drive innovation in data engineering practices. Tasks Lead the design, development, and implementation of scalable and robust data pipelines for extracting, transforming, and loading (ETL) large volumes of data from various sources. Architect and optimize data storage and processing systems, including data lakes, data warehouses, and cloud-based platforms, to support efficient data retrieval and analysis. Collaborate with data scientists, analysts, and other stakeholders to understand data requirements, design data models and schemas, and implement solutions that meet analytical and reporting needs. Provide technical leadership in data engineering practices, including data integration, data quality assurance, data governance, and data security. Optimize and fine-tune data pipelines and processing workflows to ensure high performance, reliability, and scalability. Mentor and guide junior data engineers, providing technical guidance, code reviews, and best practices to enhance their skills and productivity. Collaborate with IT and infrastructure teams to ensure the availability, security, and scalability of data systems, including disaster recovery and backup strategies. Stay updated with emerging technologies, tools, and frameworks in the data engineering field, and evaluate their potential applications in improving data processing and analytics capabilities. Drive innovation in data engineering practices, identifying opportunities for process improvements, automation, and optimization. Collaborate with stakeholders to define data strategies and roadmaps, aligning data engineering initiatives with business goals. Qualifications and Requirements Bachelor's degree in computer science, information systems, or a related field. Advanced degrees are a plus
