Manager - Data Engineering

At F5, we strive to bring a better digital world to life. Our teams empower organizations across the globe to create, secure, and run applications that enhance how we experience our evolving digital world. We are passionate about cybersecurity, from protecting consumers from fraud to enabling companies to focus on innovation. 
 

Everything we do centers around people. That means we obsess over how to make the lives of our customers, and their customers, better. And it means we prioritize a diverse F5 community where each individual can thrive.

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 customer’s experience to insights gathered by data 
analytics, enabled by the data engineering function. Synthesizes business 
challenges 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.

The Job Description is intended to be a general representation of the responsibilities and requirements of the job. However, the description may not be all-inclusive, and responsibilities and requirements are subject to change.