Data Engineering (Supply Chain & MDM)

Location: Mumbai, India

Experience: 8 18 Years

Role Overview

• We are seeking a Senior Data Lead to design and lead enterprise data architecture, engineering, and governance initiatives with a strong focus on Procurement and Master Data Management (MDM). The role involves building scalable data platforms, ensuring high-quality data systems, and enabling data-driven decision-making across the organization.

Key Responsibilities

Data Strategy & Leadership

• Define and drive enterprise data engineering and MDM strategy aligned with business goals.
• Lead and mentor data engineering and analytics teams.
• Establish best practices for scalable and high-performance data systems.
• Act as domain expert for procurement and supply chain data.

Data Engineering & Architecture

• Design and manage scalable data platforms, pipelines, and lakehouse/warehouse solutions.
• Implement modern data stack and open-source technologies.
• Ensure performance, reliability, and cost efficiency of data systems.
• Build real-time and batch data processing frameworks.

MDM & Data Governance

• Own enterprise MDM strategy and implementation.
• Define and enforce data governance, quality, and metadata standards.
• Ensure data accuracy, lineage, and compliance across systems.
• Drive data standardization, deduplication, and harmonization initiatives.

Procurement Data & Analytics

• Develop data solutions for supplier, vendor, and spend analytics.
• Collaborate with Procurement, Finance, and Supply Chain teams for insights.
• Manage integrations with ERP systems (SAP, Ariba, Coupa, etc.).
• Enable analytics for vendor performance, risk, and cost optimization.

Stakeholder Collaboration

• Work closely with business, product, and engineering teams.
• Translate business requirements into scalable data solutions.
• Drive adoption of self-service analytics and data platforms.
• Communicate complex data concepts to non-technical stakeholders.

Must-Have Skills & Experience

• Bachelor s/Master s degree in Computer Science, Data Engineering, or related field.
• 10 15+ years of experience in data engineering with strong exposure to MDM and procurement/supply chain data.
• Strong expertise in Python, SQL, and ETL/ELT pipelines.
• Experience in data architecture, data warehousing, and lakehouse solutions.
• Hands-on experience with cloud platforms (AWS, Azure, or GCP).
• Strong knowledge of Spark, Kafka, and Hadoop.
• Expertise in MDM, data governance, data modeling, and data quality frameworks.
• Experience with ERP and procurement/supply chain data (preferred).
• Proven leadership in managing teams and large-scale data initiatives.