Data Architect

Today, there's more data and users outside the enterprise than inside, causing the network perimeter as we know it to dissolve. We realized a new perimeter was needed, one that is built in the cloud and follows and protects data wherever it goes, so we started Netskope to redefine Cloud, Network and Data Security. 

Since 2012, we have built the market-leading cloud security company and an award-winning culture powered by hundreds of employees spread across offices in Santa Clara, St. Louis, Bangalore, London, Paris, Melbourne, Taipei, and Tokyo. Our core values are openness, honesty, and transparency, and we purposely developed our open desk layouts and large meeting spaces to support and promote partnerships, collaboration, and teamwork. From catered lunches and office celebrations to employee recognition events and social professional groups such as the Awesome Women of Netskope (AWON), we strive to keep work fun, supportive and interactive.  Visit us at Netskope Careers. Please follow us on LinkedIn and .

Position Summary

We are seeking a skilled and visionary Data Architect to lead the design, development, and operation of a cloud-based data operations platform. In this role, you will also act as the Product Owner for the Data Operations Scrum Team, driving the delivery of impactful business outcomes.

As a Data Architect, you will define and execute the vision for a secure, scalable, and fault-tolerant platform that enables near real-time operational and analytics-ready data for the business. You'll collaborate closely with stakeholders and lead a high-performing, cross-functional team to deliver innovative solutions in a fast-paced environment.

This role requires expertise in modern data architecture, cloud technologies, Agile leadership, and DevOps practices, along with strong business acumen and prioritization skills.

Key Responsibilities

Data Architecture

• Design and implement scalable, secure, and efficient data architectures.
• Develop and enforce data management strategies, including modeling, integration, warehousing, and migration.
• Oversee the implementation of cloud-native data platforms, ensuring optimal performance, cost-efficiency, and reliability.
• Define and uphold data governance standards to ensure regulatory compliance and adherence to best practices.
• Collaborate with cross-functional teams to align the data architecture with business goals.

Product Ownership

• Establish and maintain a clear product vision, roadmap, and backlog for the data platform.
• Prioritize features, enhancements, and technical debt based on business value, stakeholder input, and team capacity.
• Act as the primary bridge between stakeholders and the Scrum team, ensuring alignment on objectives and deliverables.
• Write clear, actionable user stories and acceptance criteria for the development team.
• Facilitate Scrum ceremonies, including sprint planning, reviews, and retrospectives, to maximize team productivity.

Qualifications

Required:

• 8+ years of experience in data architecture, data engineering, or related fields.
• Proven expertise in designing and implementing data lakes, data warehouses, and real-time streaming solutions.
• Strong knowledge of cloud platforms (e.g., AWS, Azure, GCP) and cloud-native services.
• Proficiency in modern data tools and technologies, including SQL, Python, Spark, Kafka, and ETL frameworks.
• Familiarity with data governance tools (e.g., Collibra, Alation) and regulatory compliance (e.g., GDPR, CCPA).
• 3+ years as a Product Owner or similar role in an Agile environment.
• Deep understanding of Scrum and Agile methodologies, including backlog management and sprint planning.
• Excellent communication and stakeholder management skills, with the ability to translate between technical and business needs.
• Strong leadership, problem-solving, and coaching skills.
• Familiarity with DevOps practices, microservices architecture principles, and networking fundamentals (e.g., OSI model, security).
• Fluent in English.

Preferred:

• Master's degree in Computer Science, Data Science, Information Systems, or a related field.
• AWS Certifications (e.g., Solutions Architect Professional, DevOps Engineer, Security).
• Experience building secure systems compliant with ISO 27001 and NIST standards.
• Hands-on experience with data visualization tools (e.g., Tableau, Looker, Power BI) and machine learning pipelines.
• Proven ability to manage large-scale data operations and cross-functional teams.

About You

You are a proactive, team-oriented leader passionate about driving data-driven innovation. With a strong foundation in data architecture and Agile practices, you thrive in dynamic environments and excel at delivering impactful solutions that align with business goals.

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