Data Product Architect
Job Summary
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
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
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.
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