1. Leads, develops, and guides other data engineers on the team and supports their career growth.
2. Receives objective-based assignments and uses knowledge in data engineering to determine resources to meet schedules and goals. Designs and implements data pipelines for complex data processing tasks and analyzes and optimizes data pipeline performance and reliability, working with Product and Analytics teams to ensure alignment.
3. Support Product managers implementing strategic direction on large scale business problems by engaging broadly across F5 to understand customer and business problems, identify gaps, and guide by prioritizing business opportunities that tie customers experience to insights gathered by data analytics, enabled by the data engineering function. Synthesizes business hallenges from multiple business domains into delivery plans on how to address leveraging data engineering.
4. Supports Solution Owners in coordinating and organizing data engineering projects from conception to completion. Ensures data quality, data accessibility, and the use of proper tools and technology to develop and deploy data pipelines, design and implement data storage solutions, and optimize data storage and retrieval processes to support the needs of various teams.
5. Interacts frequently with data engineering professionals, provides technical leadership, and learns and partners with other F5 teams. Partners with Product, Analytics, Software Engineering, and Data Science leadership.

Keyskills: data science analytics data quality data storage data analytics technical leadership data pipelines data processing storage solutions software engineering data engineering