Architect leading initiatives in data platform engineering at F5, solving challenges in unstructured data and enhancing governance frameworks.
Responsibilities
Define and implement the architecture for metadata management, data cataloging, and AI-driven governance frameworks, focusing on unstructured and semi-structured data.
Architect scalable solutions across multi-cloud environments (Azure, AWS) and modern data technologies, including Snowflake, DBT, Databricks, and Fivetran.
Develop automation solutions and optimize SDLC processes for data workflows, including building CI/CD pipelines and streamlining engineering operations.
Drive integration of AI capabilities into governance processes, leveraging models to tag, classify, and monitor data for compliance and usability.
Collaborate with data engineers, SREs, business intelligence, and data science teams to align architecture solutions with business goals and organizational strategies.
Requirements
BS/BA degree or equivalent experience in Computer Science, Engineering, or a related field.
15+ years of experience in technical roles, with significant exposure to data platform architecture and solution delivery.
10+ years of combined experience in software engineering and data architecture.
Expertise in logical data modeling, metadata management, and scalable architecture for structured and unstructured data.
Advanced experience with data governance frameworks, particularly in deploying automated governance for unstructured datasets.
Strong proficiency in modern data tools (Snowflake, dbt, Databricks, Fivetran) and multi-cloud environments (Azure, AWS).
Operational knowledge of AI tools and frameworks, such as GPT-based solutions, with experience integrating AI into pipelines and governance workflows.
Benefits
Employees within 30 commutable miles of an F5 office are required to work from the office a minimum of 30 business days per quarter.
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