Nearshore 
Market rate - I'd say up to $100/hr bill rate 
Interview - 1 with Clint 
Seeking candidates that can work a schedule with as much overlap with Manilla time as possible (please present with schedule they are willing to work) 
Duration - 4 months (possible extension) 

Position Summary

Our mission is to build the central nervous system for our entire business—a world-class data platform that empowers every team at Netskope to make faster, smarter decisions. We are seeking a visionary leader to own this platform as a product, blending deep architectural expertise with a relentless focus on the needs of your customers: our data scientists, analysts, and engineers. This is a unique opportunity to define the future of data at Netskope and build the foundational asset that will unlock our next generation of products and insights.

As a hybrid leader, you will be responsible for both the technical architecture of the platform and its product strategy.

Key Responsibilities

Data Architecture

• Architect and implement scalable, secure, and efficient enterprise-wide data architectures, standards, and governance policies.

• Lead the evaluation, selection, and implementation of foundational data technologies across the stack, including data warehousing, stream processing (e.g., Kafka), orchestration, and governance tools.

• Oversee the implementation of our cloud-native data platform, ensuring optimal performance, cost-efficiency, and reliability.

• Serve as the senior-most technical expert and mentor for the data platform team, fostering a culture of technical excellence and end-to-end ownership.

Product Ownership

• Define, own, and execute the multi-year technical and product roadmap for the Enterprise Data Platform, ensuring alignment with C-level business objectives.

• Act as the voice of the customer for our internal data users, conducting deep research into their workflows to identify pain points and opportunities for platform-driven innovation.

• Partner with executive leadership to translate strategic business objectives into a clear, prioritized platform backlog, authoring clear user stories and acceptance criteria.

• Establish and monitor key performance indicators (KPIs) for the platform, focusing on adoption, user satisfaction, data quality, and its direct impact on business velocity.

Qualifications

Required:

• 8+ years of experience in data architecture, data engineering, or building large-scale distributed systems.

• 3+ years of experience as a Product Owner, technical program manager, or in an equivalent strategy-setting role within an Agile environment.

• Deep, hands-on expertise in a major cloud ecosystem (GCP, AWS, or Azure) and its native data services.

• Proven mastery of modern data warehousing (e.g., Snowflake, BigQuery, Databricks), distributed data processing (e.g., Spark, Flink), and real-time streaming solutions (e.g., Kafka).

• Deep understanding of Scrum and Agile methodologies, including backlog management, sprint planning, and facilitating ceremonies.

• Exceptional communication and stakeholder management skills, with demonstrated experience influencing and presenting to both deeply technical audiences and executive leadership.

• Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent practical experience.

• Fluency in English.

Preferred:

• Relevant cloud certifications (e.g., AWS Solutions Architect Professional, Google Cloud Professional Data Engineer).

• Experience building secure systems compliant with standards like ISO 27001 or NIST 800-53.

• Hands-on experience implementing or operating within a Data Mesh or Data Fabric architecture.

• Familiarity with modern data governance and cataloging platforms (e.g., Collibra, Alation).

• A proven track record of building and evangelizing internal developer platforms or "infrastructure-as-a-product".