Principal IT Data Engineer - Data & Analytics

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.

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.

Our Data & Analytics group is responsible for working with various business owners/stakeholders from Sales, Marketing, People, GCS, Infosec, Operations, and Finance to solve complex business problems which will have a direct impact on the metrics defined to showcase the progress of Palo Alto Networks. We leverage the latest technologies from the Cloud & Big Data ecosystem to improve business outcomes and create through prototyping, Proof‑of‑Concept projects, and application development.

We are looking for a Principal IT Data Engineer with extensive experience in Data engineering, SQL, Cloud engineering and business intelligence (BI) tools. The ideal candidate will be responsible for architecting, designing, implementing, and maintaining scalable data transformations and analytical solutions that support our business objectives. This role requires a strong understanding of data engineering principles, as well as the ability to collaborate with cross‑functional teams to deliver high‑quality data solutions.

• Design, develop, and maintain data pipelines to extract, transform, and load (ETL) data from various sources into our data warehouse or data lake environment.
• Aptitude for proactively identifying and implementing GenAI‑driven solutions to achieve measurable improvements in the reliability and performance of data pipelines or to optimize key processes like data quality validation and root cause analysis for data issues, is a nice‑to‑have.
• Collaborate with stakeholders to gather requirements and translate business needs into technical solutions.
• Optimize and tune existing data pipelines and transformations for performance, reliability, and scalability.
• Implement data quality and governance processes to ensure data accuracy, consistency, and compliance with regulatory standards.
• Work closely with the BI team to design and develop dashboards, reports, and analytical tools that provide actionable insights to stakeholders.
• Mentor junior members of the team and provide guidance on best practices for data engineering & BI development.
• Drive new and improved processes to increase engineer productivity.
• Good to have a trusted technical advisor / thought leader, identifying and integrating emerging technologies (e.g., AI/ML, agentic frameworks, AI‑first architectures, cloud‑native platforms) and guiding teams to adopt innovative best practices that ensure systems remain adaptable and future‑ready.

• Minimum of 12 years of related experience with a Bachelor’s degree in Computer Science, Engineering, or a related field or 8 years and a Master’s degree; or a PhD with 5 years experience.
• 5+ years of experience in data engineering, with a focus on building and maintaining data pipelines and analytical solutions.
• Expertise in SQL programming and database management systems.
• Hands‑on experience with ETL tools and technologies such as Apache Spark and Apache Airflow.
• Experi…