Senior Data Engineer

About the role

The Senior Data Engineer in the Product Data Group plays a key role in designing and building data models and pipelines for the use of our product data (telemetry, logs, alerts, etc.). Aspects of this role include: Participate in the design and lead the implementation and optimization of data models and pipelines for multiple uses; understand and implement the data architecture and security and access standards used within the Product organization Understand and lead the implementation of data management standards for schema evolution, versioning, backfill and retry capabilities, etc. Design and manage the adoption of best practices in testing, monitoring, alerting and runbook-driven operations for pipelines; in collaboration with the Data Platform Architect, champion the development and adoption of robust RCA and remediation strategies Implement and enforce SLAs and data lifecycle management; Develop standards for data quality checks, observability, and alerting for production data systems Contribute to technical and architectural documentation; provide guidance on data cataloguing and metadata requirements to data owners Contribute to design reviews, raising engineering quality, and sharing best practices; Collaborate deeply with cross functional teams to align event design, source systems, and data contracts

Requirements

• While all these skills are important, it isn't critical that they all be met exactly. If you think you're a fit for this role, please apply!
• 6-8 years of progressively greater responsibilities in the areas of data engineering and architecture, ideally with a focus on product data (telemetry, logs, etc.)
• Extensive experience in data architecture and data modeling, database and pipeline performance optimization, and standardization of design and implementation
• Expert in the design of data flows, pipelines, and data quality and observability systems, incorporating monitoring and alerting frameworks and policies
• Experienced in data cataloguing, metadata and lineage, and in working with data stewards to maintain these assets
• Extensive experience incorporating devops standards (CI/CD, testing frameworks, etc.) and integrating with software engineering processes
• Experience working within a data governance framework and managing data priorities across multiple stakeholders
• Strong communication and collaboration
• Bonus:
• Experience with dbt, Databricks (and Unity Catalog) git, AWS
• Experience with ML data requirements
• 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.
• Please note that F5 only contacts candidates through F5 email address (ending with @f5.com) or auto email notification from Workday (ending with f5.com or @myworkday.com ) .
• Equal Employment Opportunity

Benefits

Additional Information

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.

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