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.
Design unstructured data strategies that address challenges in scalability, security, and dynamic governance.
Collaborate with data engineers, SREs, business intelligence, and data science teams to align architecture solutions with business goals and organizational strategies.
Evaluate and integrate cutting-edge SaaS AI offerings and internal solutions, ensuring interoperability with existing data systems.
Troubleshoot and resolve production issues to ensure high performance and reliability across the data platform.
Requirements
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.
Hands-on experience with modern data stack technologies (Snowflake, dbt, Databricks, Fivetran) and multi-cloud platforms (Azure, AWS).
Operational knowledge of AI tools and frameworks, such as GPT-based solutions, with experience integrating AI into pipelines and governance workflows.
Proven ability to architect scalable automation solutions and optimize SDLC processes for agility and reliability.
Track record of implementing unstructured data strategies, solving challenges around governance, scalability, and compliance.
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.
Strong proficiency in modern data tools (Snowflake, dbt, Databricks, Fivetran) and multi-cloud environments (Azure, AWS).
Experience deploying and operationalizing AI-driven solutions and frameworks across enterprise ecosystems.
Expertise in designing data governance for unstructured data and integrating AI for metadata and compliance purposes.
Why Join Us?
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
It is the policy of F5 to provide equal employment opportunities to all employee
Benefits
Vision insurance
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.
Position Summary:
Life at F5 is about driving innovation, tackling industry challenges, and building solutions that meet the evolving needs of modern enterprises. As we advance our data platform and engineering capabilities, we are seeking an Architect - Data Platform and Engineering to lead initiatives in data modeling, governance, automation, and AI enablement, with a focus on solving challenges in unstructured data and enhancing metadata and catalog integration.
Reporting to the Head of Data Platform and Engineering, this role combines strategic vision with hands-on technical implementation to deliver scalable solutions. The architect will play a lead role in integrating SaaS AI offerings and an internal GPT wrapper, building governance frameworks that leverage AI, and partnering with data engineers, SREs, and cross-functional teams, including business intelligence, data science, and digital organizations.
Ffive · Hyderabad, India