Job description

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. Compensation: The target salary range for this position is $145,000-$155,000. The salary offered will be determined by the candidate's location, qualifications, experience, and education and may be outside of this range. The range is based on 'On Target Earnings’ (OTE) representing the total potential earnings, which is the sum of the base salary and potential commission earned when performance targets are achieved. Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package. This may cover Health Insurance, Life Insurance, Retirement or Pension Plans, Paid Time Off, various Leave options, employee stock purchase plan, and/or restricted stocks (RSU’s). These offerings are subject to regional variations and governed by local laws, regulations, and company policies. We will provide detailed information about the specific benefits for your region during the recruitment process.

Requirements

Must-haves

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

Nice-to-haves

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.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

machine learningaisqlagilescrumpythonazureci/cd

Platform: eightfold
Effort: medium

Benefits

Benefits detected in the listing.

Health Insurance

Paid Time Off