Data Platform Architect

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.

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

Sandisk is committed to providing equal opportunities to all applicants and employees and will not discriminate against any applicant or employee based on their race, color, ancestry, religion (including religious dress and grooming standards), sex (including pregnancy, childbirth or related medical conditions, breastfeeding or related medical conditions), gender (including a person’s gender identity, gender expression, and gender-related appearance and behavior, whether or not stereotypically associated with the person’s assigned sex at birth), age, national origin, sexual orientation, medical condition, marital status (including domestic partnership status), physical disability, mental disability, medical condition, genetic information, protected medical and family care leave, Civil Air Patrol status, military and veteran status, or other legally protected characteristics. We also prohibit harassment of any individual on any of the characteristics listed above. Our non-discrimination policy applies to all aspects of employment. We comply with the laws and regulations set forth in the "Know Your Rights: Workplace Discrimination is Illegal ” poster. Our pay transparency policy is available here .

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.