Data Architect – Supply Chain

Job not on LinkedIn

🔥 1 hour ago

🇮🇳 India – Remote

⏰ Full Time

🟠 Senior

🔴 Lead

🚰 Data Engineer

👻 Ghost score 25%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Weekday (YC W21)

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2021

💼 Consulting

👥 HR Tech

☁️ SaaS

Consulting • HR Tech • SaaS

Weekday is a modern recruitment platform that combines AI technologies with a vast database of potential candidates, aiming to streamline the hiring process for companies in India. They offer various services, including a proactive outreach approach that helps employers connect with top talent, as well as tools for candidates to easily apply for jobs. Weekday's emphasis on candidate engagement through multiple channels, including email, WhatsApp, and phone calls, sets it apart in the competitive landscape of recruitment agencies.

📋 Description

• 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

• 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