Technologist, Data Analytics Engineering

Technologist, Data Analytics Engineering

Company Description

Sandisk understands how people and businesses consume data and we relentlessly innovate to deliver solutions that enable today’s needs and tomorrow’s next big ideas. With a rich history of groundbreaking innovations in Flash and advanced memory technologies, our solutions have become the beating heart of the digital world we’re living in and that we have the power to shape.

Sandisk meets people and businesses at the intersection of their aspirations and the moment, enabling them to keep moving and pushing possibility forward. We do this through the balance of our powerhouse manufacturing capabilities and our industry-leading portfolio of products that are recognized globally for innovation, performance and quality.

Sandisk has two facilities recognized by the World Economic Forum as part of the Global Lighthouse Network for advanced 4IR innovations. These facilities were also recognized as Sustainability Lighthouses for breakthroughs in efficient operations. With our global reach, we ensure the global supply chain has access to the Flash memory it needs to keep our world moving forward.

Job Description

Job Description

• Lead the architecture, engineering, and operationalization of enterprise AI platform capabilities, enabling secure, scalable, and reusable AI services across the organization.
• Own the productization of foundational AI capabilities—including AI Gateway, Semantic Layer, Agentic Harness, CLI tooling, and integration frameworks—to accelerate AI solution delivery and adoption.

Key Responsibilities

• Define and implement the platform engineering strategy for AI services, including CI/CD, IaC, API lifecycle management, observability, security, governance, and multi-environment deployment patterns.
• Architect, build, and scale foundational AI capabilities (e.g., Semantic Layer, Agentic Harness, AI Gateway, orchestration frameworks, reusable SDKs/CLI tools) while establishing standards, reference architectures, and engineering best practices across teams.

Qualifications

Educational Background:

• Bachelor’s or Master’s degree in Computer Science, Data Sciences, or related fields.

Professional Background:

• 10+ years of experience in platform engineering, cloud architecture, DevOps/SRE, or software engineering, with demonstrated expertise in building large-scale enterprise platforms and developer enablement capabilities.
• Deep expertise in CI/CD, Infrastructure as Code, cloud-native architectures, API platforms, security, and automation, with experience operationalizing AI/ML or GenAI platforms and services in enterprise environments.

Preferred Skills:

• Certifications in Cloud Architecture 
• Experience with Agentic frameworks 
• Excellent communication and stakeholder management skills

 

Additional Information

Sandisk thrives on the power and potential of diversity. As a global company, we believe the most effective way to embrace the diversity of our customers and communities is to mirror it from within. We believe the fusion of various perspectives results in the best outcomes for our employees, our company, our customers, and the world around us. We are committed to an inclusive environment where every individual can thrive through a sense of belonging, respect and contribution.

Sandisk is committed to offering opportunities to applicants with disabilities and ensuring all candidates can successfully navigate our careers website and our hiring process. Please contact us at jobs.accommodations@sandisk.com to advise us of your accommodation request. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Experience Level

Senior Level