Data Platform Architect

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 We are seeking a hands-on Data Platform Architect to lead the design implementation and modernization of our enterprise-wide data platform including data governance lakehouse architecture engineering pipelines analytics and AI-driven solutions This role requires deep technical expertise strategic vision and executional leadership to build a scalable governed and intelligent data ecosystem across cloud and on-prem environments ESSENTIAL DUTIES AND RESPONSIBILITIES Architecture Strategy Define and continuously evolve the target data architecture across the stack governance engineering modeling lakehouse AI ML Translate business and technical goals into scalable and resilient platform designs Own and maintain architectural roadmaps standards and decision frameworks Act as the bridge between architects Business SME Analysts data engineers and analytics teams to ensure alignment and compliance with platform standards Data Engineering Platform Delivery Design and implement modern ELT ETL pipelines using tools like Spark Python SQL Scala and cloud-native components e g Fivetran Databricks Snowflake BigQuery Build and maintain Lakehouse platforms using Delta Lake Iceberg or equivalent technologies Manage data ingestion from heterogeneous sources including ERP CRM IoT and third-party APIs Guide hands-on development of robust reusable and automated data flows Governance Metadata and Quality Implement and enforce data governance frameworks including data lineage metadata management and access controls Partner with Data Stewards and Governance Analysts to catalog data domains define entities and ensure SOX compliance Drive adoption of tools like and Atlan Unity Catalog for metadata quality and stewardship Develop data models ERDs dimensional and 3NF and define canonical data representations AI Agentic Enablement Lead the integration of AI ML solutions and agentic architectures into the data platform to automate insights recommendations and decision flows Collaborate with AI ML teams to embed vectorization tokenization and semantic enrichment into the data stack Prototype innovative GenAI applications for operational and business intelligence Collaboration Leadership Review solution designs and provide architectural guidance to engineering teams Mentor technical staff while fostering best practices and continuous improvement Collaborate with DevOps to embed CI CD version control and environment automation across the data lifecycle Continuously assess and improve platform reliability scalability performance and cost-efficiency Qualifications REQUIRED 12 years of hands-on experience in data architecture engineering and analytics delivery Proven success in building modern data platforms on cloud AWS Azure GCP Deep knowledge of data lakehouse architectures e g Databricks Fabric Proficiency with Python SQL Spark and orchestration frameworks Experience with ETL ELT tools e g Informatica Talend Fivetran and containerization Docker Kubernetes Strong background in Data Modeling ERD star snowflake canonical models Familiarity with REST APIs GraphQL and event-driven design Demonstrated experience integrating AI ML and GenAI components into data platforms PREFERRED 15 years of experience including solution architecture roles for large-scale data initiatives Deep expertise in Databricks Delta Lake Unity Catalog and Azure Data Services Experience with BI visualization tools like Power BI Tableau and Looker Understanding of Master Data Management data profiling cleansing and enrichment techniques Exposure to DataOps and DevOps practices for CI CD and platform automation Strong analytical and problem-solving skills with the ability to communicate clearly to both technical and business audiences Knowledge of high-tech business domains such as engineering sales finance supply chain or semiconductor operations is a strong plus Knowledge of SAP ERP and SAP BDC is a plus 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 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