Data Product Architect

Own Every Moment at Net App

At Net App, 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, Net App is where your journey begins. Join teams that innovate to elevate, drive results, and excel together across every function.

Net App 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 Net App, 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 Net App RTP office three days per week.

• 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 life cycles, ensuring adherence to compliance standards, especially concerning financial data and operational controls.

• Expertise in SQL, RESTful APIs, and Python, with No
  
  SQL 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 Dev Ops 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…