Data Architect – Supply Chain

Weekday (YC W21)

. Design and implement scalable data architectures for supply chain data platforms, analytics, reporting, and downstream applications .

Posted 9/30/2026full-timeRemote • IndiaSeniorLeadWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing scalable data architectures, particularly in cloud environments using Microsoft Azure and Databricks. Proficient in data governance, quality management, and stakeholder collaboration to optimize supply chain data processes.

Highest-signal resume keywords

Data ArchitectureMicrosoft AzureDatabricksData GovernanceData Integration

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ModelingData WarehousingETL/ELTData LakesData ProcessingAnalytics SolutionsCloud-Based Data ArchitectureData Quality ManagementMetadata ManagementData Lineage

Soft Skills

Excellent CommunicationStakeholder Management

Tools & Technologies

Azure Data FactorySAP S/4HANA

Industry Keywords

Supply Chain DataERPProcurementInventoryLogisticsManufacturingDemand PlanningOrder Management

Tech Stack

Tools & technologies

AzureCloudERPETL

About the role

Key responsibilities & impact

Design and implement scalable data architectures for supply chain data platforms, analytics, reporting, and downstream applications
Define enterprise data models, logical and physical data structures, data domains, and data integration patterns
Architect cloud-based data solutions using Microsoft Azure services
Design and optimize data processing and analytics solutions using Databricks, including data lakehouse architecture and distributed data processing
Collaborate with data engineering teams on data ingestion, transformation, storage, orchestration, and consumption best practices
Translate complex business and technical requirements into architecture and solution designs
Establish standards for data quality, metadata management, lineage, security, access control, and governance
Work with cross-functional stakeholders to understand supply chain processes and identify data modernization and optimization opportunities
Review existing data platforms and recommend improvements to architecture, performance, scalability, and maintainability
Provide technical leadership and architectural guidance to data engineers and development teams
Create architecture diagrams, technical documentation, data models, and solution design specifications
Ensure alignment with enterprise architecture, cloud security, compliance, and data governance standards

Requirements

What you’ll need

Minimum 8+ years of experience
8–12 years of experience in data architecture, data engineering, or related technology roles
Strong hands-on experience in Data Architecture and designing enterprise-scale data platforms
Strong expertise in Microsoft Azure and cloud-based data architecture
Extensive experience with Databricks, including lakehouse architecture, data processing, and analytics workloads
Strong understanding of data modeling, data warehousing, data lakes, ETL/ELT, and data integration concepts
Experience designing scalable and high-performance data solutions for complex enterprise environments
Strong understanding of data governance, security, quality, lineage, and metadata management
Excellent communication and stakeholder management skills with the ability to work across business and technical teams
Experience working with SAP S/4HANA and SAP-related enterprise data
Hands-on knowledge of Azure Data Factory (ADF) for data integration and orchestration
Prior experience working 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