Weekday (YC W21)
Weekday (YC W21)
11 – 50 कर्मचारी
SaaSएचआर टेकपरामर्श
Weekday (YC W21) मानव संसाधन प्रौद्योगिकी और SaaS क्षेत्र में भारत पर केंद्रित एक भर्ती प्लेटफ़ॉर्म है। यह कंपनियों को सक्रिय संपर्क के माध्यम से प्रतिभाओं की पहचान करने और उनसे जुड़ने में मदद करने के लिए AI-आधारित टूल और उम्मीदवारों के व्यापक डेटाबेस को एक साथ लाता है। यह प्लेटफ़ॉर्म ईमेल, WhatsApp और फ़ोन के माध्यम से संवाद की सुविधा देता है, साथ ही उम्मीदवारों को नौकरियों को आसानी से खोजने और उनके लिए आवेदन करने का सरल तरीका भी प्रदान करता है।

Senior Data Architect - Supply Chain (India Remote)

Lead the design of scalable Azure and Databricks data platforms supporting supply-chain operations. Define enterprise data models, governance, integrations, and modernization plans for an India-based client.

विवरण

  • Design and deliver scalable data architectures for supply-chain platforms, analytics, reporting, and downstream applications
  • Define enterprise data models, logical and physical structures, data domains, and integration patterns
  • Architect cloud data solutions with Microsoft Azure services
  • Build and optimize Databricks processing and analytics solutions, including lakehouse architectures and distributed workloads
  • Partner with data engineering teams on ingestion, transformation, storage, orchestration, and consumption practices
  • Convert complex business and technical needs into practical architecture and solution designs
  • Set standards for data quality, metadata, lineage, security, access control, and governance
  • Engage cross-functional stakeholders to understand supply-chain operations and identify modernization opportunities
  • Assess existing data platforms and recommend improvements to architecture, performance, scalability, and maintainability
  • Provide architectural direction and technical leadership to data engineers and development teams
  • Produce architecture diagrams, technical documentation, data models, and solution specifications
  • Maintain alignment with enterprise architecture, cloud security, compliance, and data governance standards

आवश्यकताएँ

  • At least 8 years of professional experience
  • 8–12 years of experience in data architecture, data engineering, or related technology roles
  • Hands-on expertise designing enterprise-scale data platforms and architectures
  • Advanced knowledge of Microsoft Azure and cloud data architecture
  • Extensive Databricks experience across lakehouse architecture, data processing, and analytics workloads
  • Strong command of data modeling, warehousing, lakes, ETL/ELT, and integration principles
  • Experience delivering scalable, high-performance data solutions in complex enterprise environments
  • Strong understanding of data governance, security, quality, lineage, and metadata management
  • Excellent communication and stakeholder management skills across business and technical teams
  • Experience with SAP S/4HANA and related enterprise data
  • Practical experience using Azure Data Factory for integration and orchestration
  • Previous work with supply-chain data, processes, and systems
  • Exposure to ERP, procurement, inventory, logistics, manufacturing, demand planning, or order management data
  • Knowledge of modern data engineering and cloud-native architecture patterns

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