You are a Senior Data Lead responsible for designing and leading enterprise data architecture, engineering, and governance initiatives with a focus on Procurement and Master Data Management (MDM). Your role involves building scalable data platforms, ensuring high-quality data systems, and enabling data-driven decision-making across the organization. - 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 a domain expert for procurement and supply chain data
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
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
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
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
Qualifications required:
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 You are a Senior Data Lead responsible for designing and leading enterprise data architecture, engineering, and governance initiatives with a focus on Procurement and Master Data Management (MDM). Your role involves building scalable data platforms, ensuring high-quality data systems, and enabling data-driven decision-making across the organization. - 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 a domain expert for procurement and supply chain data
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
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
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
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
Qualifications required:
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
