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Sandisk Logo Sandisk · IT - Software Development

Data Platform Architect

India, Bangalore · Job Posted February 18, 2026
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Job Description

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.

Job Responsibility

  • 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
  • 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
  • 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 Atlan/Unity Catalog for metadata, quality, and stewardship
  • Develop data models (ERDs, dimensional and 3NF) and define canonical data representations
  • 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

Requirements

  • 10+ 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

Nice to have

  • 10+ 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 S/4 Hana ERP and SAP BDC is a plus
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