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Weekday (YC W21)
Weekday (YC W21)
11 – 50 Employees
ConsultingHR TechSaaS
Weekday (YC W21) is an India-focused recruitment platform in the HR technology and SaaS space. It combines AI-driven tools with a broad candidate database to help companies identify and engage talent through proactive outreach. The platform supports communication across email, WhatsApp, and phone, while also giving candidates a straightforward way to discover and apply for roles.
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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.

INIndiaRemoteFull-timeSeniorLeadEnglish RequiredData Engineer
AzureCloudERPETL

Description

  • 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

Requirements

  • 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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