Staff Data Engineer

Palo Alto Networks, Inc.; Bengaluru; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

Palo Alto Networks, Inc. is seeking a versatile data engineer to drive impact across data engineering and AI domains in Bengaluru.

You will design scalable data architectures, implement batch and real-time analytics, and contribute to generative AI initiatives by evaluating and tuning AI agents for accuracy and reliability. The role requires strong Python, SQL, experience with GCP (BigQuery, Vertex AI), and dashboards in Tableau/Looker.

Qualifications

• Experience building and optimizing clean, well-structured analytical datasets for business and AI use cases.
• Proficiency with Google Cloud Services (BigQuery, Vertex AI) in dynamic cloud environments.
• Experience developing dashboards in Tableau/Looker or similar data viz platforms.
• Expert-level programming skills in Python and strong SQL skills for complex querying.

Responsibilities

• Design and implement scalable data architectures and datasets for analytics and AI use cases.
• Support batch and real-time analytics using data transformation technologies.
• Enable data-level security and scalable solutions for cloud environments.

Skills

Python programming

SQL querying

Cloud data platforms

AI/ML concepts

Data storytelling

Tools

BigQuery

Vertex AI

Tableau/Looker

Job description

Our Mission

At Palo Alto Networks®, we’re united by a shared mission—to protect our digital way of life. We thrive at the intersection of innovation and impact, solving real-world problems with cutting-edge technology and bold thinking. Here, everyone has a voice, and every idea counts. If you’re ready to do the most meaningful work of your career alongside people who are just as passionate as you are, you’re in the right place.

Who We Are

In order to be the cybersecurity partner of choice, we must trailblaze the path and shape the future of our industry. This is something our employees work at each day and is defined by our values: Disruption, Collaboration, Execution, Integrity, and Inclusion. We weave AI into the fabric of everything we do and use it to augment the impact every individual can have. If you are passionate about solving real-world problems and ideating beside the best and the brightest, we invite you to join us!

We believe collaboration thrives in person. That’s why most of our teams work from the office full time, with flexibility when it’s needed. This model supports real-time problem-solving, stronger relationships, and the kind of precision that drives great outcomes.

Job Summary

In this versatile role, you will drive impact across both data engineering and AI domains:

Data Engineering Foundations

• Design & Development: Design and implement scalable data architectures and datasets that support the organization's evolving data needs, providing the technical foundations for our analytics team and business users.
• Data Engineering: Support and implement large datasets in batch/real-time analytical solutions leveraging data transformation technologies.
• Data Security & Scalability: Enable robust data-level security features and build scalable solutions to support dynamic cloud environments, including financial considerations.
• Optimize AI Agentic Systems: Play a key role in our generative AI initiatives. You will be responsible for characterizing, evaluating, and fine-tuning AI agents - such as conversational systems that allow users to query massive datasets using natural language to improve their accuracy, efficiency, and reliability.
• Partner with Business Stakeholders: Act as an internal consultant across enterprise functions including Go-to-Market (GTM),Product, Marketing, Finance, and Operations. You'll translate business challenges into data engineering and AI use-cases, identify opportunities for AI-driven solutions, and present your findings in a clear, actionable manner.

Qualifications

Required Experience

• Experience building and optimizing clean, well-structured analytical datasets for business and AI use cases. This includes implementing and supporting Big Data solutions for both batch (scheduled) and real-time (streaming) analytics.
• Prior experience working extensively within dynamic cloud environments, specifically Google Cloud Services (GCS) BigQuery and Vertex AI.
• Prior experience developing dashboards in Tableau/Looker or similar data viz platform.
• Expert-level programming skills in Python
• A solid command of SQL for complex querying and data manipulation.
• Proven ability to work autonomously, navigate ambiguity, and drive projects from concept to completion.
  

Preferred Qualifications

Direct experience with generative AI, including hands-on work with LLMs and frameworks like LangChain, LlamaIndex, or the Hugging Face ecosystem.

Experience in evaluating and optimizing the performance of AI systems or agents

Our Commitment

We’re trailblazers that dream big, take risks, and challenge cybersecurity’s status quo. It’s simple: we can’t accomplish our mission without diverse teams innovating, together.

We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at [e-mail].

Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics.

All your information will be kept confidential according to EEO guidelines.

Is role eligible for Immigration Sponsorship? No. Please note that we will not sponsor applicants for work visas for this position.