Product Architect Jobs

Own Every Moment at NetApp

At NetApp, your ideas power innovation. We lead in intelligent data infrastructure—delivering unified storage, integrated data services, and solutions that help organizations unlock the full potential of their data, from AI to multicloud.

Ready to innovate and contribute to our path to $10B? Here, you'll collaborate with passionate teams, tackle real-world challenges, and see your impact in how customers transform and grow. If you're ready to bring curiosity, creativity, and drive to every moment, NetApp is where your journey begins.

Job Summary

NetApp seeks a dynamic and innovative Data Product Architect to join our Enterprise Data & Analytics team. In this position, you will convert raw data into actionable insights that enhance decision-making and improve customer outcomes within Customer Success Operations (CSOps) and Professional Services Operations (PSOps).

You will design scalable data models, build robust data pipelines, and explore cutting-edge technologies such as advanced analytics, data science, machine learning, and AI tools for coding, SQL generation, data modeling, and conversational analytics. Utilizing these technologies, you will create data products that automate workflows and strengthen decision-making. Your work will enable teams to harness data to boost operational efficiency, increase customer engagement, and elevate overall business performance.

At NetApp, we prioritize ownership, a growth mindset, customer focus, inclusivity, and high performance. We encourage applicants from diverse backgrounds and experiences, emphasizing skills and potential above traditional credentials. This hybrid role requires presence at the NetApp RTP office three days per week.

Key Responsibilities

• Design and refine data models that effectively support enterprise analytics and reporting requirements. Establish clear data structures, define relationships, and set metadata standards to ensure scalability and optimal performance.

• Construct, enhance, and assess data pipelines to produce reliable, production-ready systems. Employ tools such as Oracle Data Warehouse, Snowflake, HVR, and Informatica IICS to streamline workflows.

• Harness AI technologies for coding assistance, SQL generation, data modeling, and conversational analytics. Create intelligent data products that automate workflows and improve decision-making processes.

• Comprehend business needs within CSOps and PSOps, translating them into precise technical designs and architectural documentation. Align solutions with organizational goals while collaborating with cross-functional teams to deliver effective data-driven outcomes.

• Implement Waterfall and Agile/Scrum methodologies throughout project lifecycles, ensuring adherence to compliance standards, especially concerning financial data and operational controls.

Job Requirements

• Expertise in SQL, RESTful APIs, and Python, with NoSQL experience considered an advantage.

• At least five years of experience working with data platforms such as Oracle Data Warehouse, Snowflake, and Informatica IICS.

• A minimum of five years of practical Power BI experience, covering semantic modeling, DAX, dashboard creation, and enterprise-level reporting.

• Proficient in Git-based version control and Azure DevOps CI/CD methodologies for efficient code management, deployment, and release processes.

• At least two years of experience utilizing AI tools for coding, SQL generation, data modeling, and conversational analytics.

• Outstanding written and verbal communication and presentation skills.

• Strong analytical thinking and problem-solving capabilities.

• Collaborate effectively with stakeholders including Project Managers, Delivery Managers, and Architects on both projects and operational tasks.

• Demonstrated ability to work seamlessly within cross-functional teams and to influence stakeholders.

Preferred Certifications:

• Snowflake: Snowflake SnowPro Core Certification

• TOGAF: TOGAF 9 Certified or TOGAF Standard, Version 10 Certification

• Power BI: Microsoft Certified: Power BI Data Analyst Associate

• Additional relevant industry certifications are highly welcomed.

Education

Bachelor’s degree in computer science or management information systems.

Minimum of five years of experience is required; 5 to 8 years of experience is preferred, including three or more years in Business Analytics or relevant domains.

At NetApp, we embrace a hybrid working environment designed to strengthen connection, collaboration, and culture for all employees. This means that most roles will have some level of in-office and/or in-person expectations, which will be shared during the recruitment process.

Equal Opportunity Employer:

NetApp is firmly committed to Equal Employment Opportunity (EEO) and to compliance with all federal, state and local laws that prohibit employment discrimination based on age, race, color, gender, sexual orientation, gender identity, national origin, religion, disability or genetic information, pregnancy, protected veteran status, and any other protected classification.

Why You'll Thrive at NetApp

At NetApp, you won't wait for the perfect moment—you'll make it. The early planning, the extra thought, the bold idea that turns good into great: That's how our people operate and how we continue to push the boundaries of data infrastructure.

NetApp is the trusted partner for organizations transforming data into opportunity. As the only enterprise-grade storage service natively embedded in Google Cloud, AWS, and Microsoft Azure, we empower customers to run everything from traditional workloads to enterprise AI with unmatched performance, resilience, and security.

Our culture

We celebrate mold breakers, bold thinkers, and problem solvers. We reward initiative, impact, and ownership. We provide flexibility so you can balance professional ambition with your personal life. Here, differences are not just welcomed—they drive everything we do.

If you're ready to innovate, rise to the challenge, and own every moment - make your next move your best one.

Submitting an application

To ensure a streamlined and fair hiring process for all candidates, our team only reviews applications submitted through our company website. This practice allows us to track, assess, and respond to applicants efficiently. Emailing our employees, recruiters, or Human Resources personnel directly will not influence your application.