Sr Principal Data Architect

Our Mission At Palo Alto Networks everything starts and ends with our mission: Being the cybersecurity partner of choice, protecting our digital way of life. Our vision is a world where each day is safer and more secure than the one before. We are a company built on the foundation of challenging and disrupting the way things are done, and we’re looking for innovators who are as committed to shaping the future of cybersecurity as we are. Who We Are We take our mission of protecting the digital way of life seriously. We are relentless in protecting our customers and we believe that the unique ideas of every member of our team contributes to our collective success. Our values were crowdsourced by employees and are brought to life through each of us every day - from disruptive innovation and collaboration, to execution. From showing up for each other with integrity to creating an environment where we all feel included. As a member of our team, you will be shaping the future of cybersecurity. We work fast, value ongoing learning, and we respect each employee as a unique individual. Knowing we all have different needs, our development and personal wellbeing programs are designed to give you choice in how you are supported. Your Career We are seeking an experienced and strategic Senior Principal Data Architect to lead our data architecture, governance, and quality frameworks, supporting the company's vision to achieve maximum leverage from all our data assets. This role is essential in developing and maintaining a robust data infrastructure that serves as a reliable foundation for analytics, insights, and decision-making. You will oversee the establishment of our Enterprise Data Model (EDM) including Single Sources of Truth (SSOTs) for critical data assets, ensuring data consistency and reliability across the organization. Your Impact Architectural Strategy & Design - Lead the design, development, and optimization of scalable data architectures, including data warehouses, data lakes, and other data platforms that support high-volume and high-velocity data processing. SSOT Implementation & Management - Design and implement Single Sources of Truth (SSOTs) for critical datasets, ensuring consistent and reliable data across the organization. Data Governance - Develop and enforce data governance policies and frameworks to ensure responsible and compliant data usage. Data Quality Management - Establish and manage data quality standards, processes, and metrics to ensure data accuracy, consistency, and completeness. Technical Leadership - Provide technical leadership and mentorship to the data engineering and architecture teams, fostering best practices in data management, governance, and quality. Collaboration & Stakeholder Engagement - Drive data quality/governance/architecture discussions across IT and business teams, aligning data architecture and SSOT decisions with business objectives. Scalability & Performance Optimization - Design and support the implementation of scalable data systems capable of handling large datasets efficiently. Data Security - Work closely with the Infosec team to incorporate data privacy and security best practices into data architectures and SSOTs. Innovation & Emerging Technologies - Stay updated on industry trends, emerging technologies, and best practices in data architecture, governance, quality management, and SSOT frameworks. Your Experience Education - Bachelor’s degree in Computer Science, Information Technology, Data Science, or a related field or equivalent military experience required (Master’s or Ph.D preferred). Experience - 10+ years in data architecture, data engineering, or related roles, with demonstrated experience in SSOT, data governance, and data quality management. Technical Expertise - Proficiency in data warehousing (e.g., BigQuery, Snowflake, or Redshift), data lakes, ETL/ELT frameworks, and cloud platforms (AWS, GCP, or Azure). SSOT & Data Governance - Proven experience establishing SSOT frameworks and data governance strategies. Data Modeling - Expertise in data modeling, including OLAP, OLTP, star schemas, normalized forms, and semi/unstructured data. Leadership Skills - Strong track record of mentoring, influencing, and managing technical teams. Analytical Skills - Strong problem-solving skills focused on operational efficiency, data integrity, and analytical accuracy. Communication - Excellent verbal and written communication skills. Preferred Experience with machine learning data pipelines and supporting AI/ML infrastructure. Familiarity with data governance frameworks (e.g., DAMA DMBOK, DCAM). Knowledge of industry regulations and data privacy laws (e.g., GDPR, HIPAA). The Team Working at a high-tech cybersecurity company within Information Technology is a once-in-a-lifetime opportunity. You’ll join the brightest minds in technology, creating, building, and supporting tools and enabling our global teams on the front line of defense against cyberattacks. Compensation Disclosure The compensation offered for this position will depend on qualifications, experience, and work location. Our Commitment We’re problem solvers that take risks and challenge cybersecurity’s status quo. 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

accommodations@paloaltonetworks.com . 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.

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