Sr. Principal, Master Data Architect/Engineer

Overview

As a Principal Master Data Architect/Engineer, you'll design, model and implement MDM solutions, ensuring data consistency, accuracy, and reliability across various domains (customer, product, supplier, vendor). You'll also be responsible for data solutions, app development, and process automation on platforms like Celonis.

Responsibilities

• Responsible for the overall MDM architecture and Design end to end at enterprise level
• Collaborate with enterprise architecture teams on standards, develop and implement data quality and governance processes.
• Design and evaluate complex ELT/ETL tasks.
• Build and customize data models, apps, develop data integration and custom workflow automations
• Implement quality rules and business rules, ensuring high performance and availability of MDM services.
• Lead project activities and collaborate with cross-functional teams.
• Manage data ingestion, data profiling, data cleansing, data transformation, data modeling and master record creation
• Optimize and maintain data processing systems for performance, scalability, and reliability.
• Document technical specifications, solutions, and processes.
• Ensuring compliance with data privacy and security regulations" to emphasize the importance of handling data responsibly.
• Conducting regular audits and assessments of data processes
• Staying updated with the latest trends and advancements in MDM and data architecture

Qualifications

 

 

• 8 years of experience in Data Architect, Data engineering, software development, or similar roles.
• Proven experience with SAP S4 Hana, MDM tools, Celonis including master data management, data engineering, app development, and automation.
• Proficiency in MDM architecture, data engineering and software development, with experience in Python, SQL.
• Proficiency in data modeling, MDM systems, and governance practices.
• Familiarity with enterprise systems (SAP, CRM, HRM) and integrating data into Celonis.
• Hands-on experience with process automation and orchestration tools is a plus.
• Experience in leading and mentoring junior data engineers
• Ability to translate business problems into implementable solutions.
• Strong written and verbal communication skills.
• Bachelor's Degree in Computer Science, Data Engineering, or related field; Master's Degree preferred.

Company Description

Waters Corporation (NYSE: WAT), the world's leading specialty measurement company, has pioneered chromatography, mass spectrometry and thermal analysis innovations serving the life, materials, and food sciences for over 60 years. With approximately 8,000 employees worldwide, Waters operates directly in 35 countries, including 15 manufacturing facilities, with products available in more than 100 countries. Our team focuses on creating business advantages for laboratory-dependent organizations to enable significant advancement in healthcare delivery, environmental management, food safety, and water quality.   

 

Working at Waters enables our employees to unlock the potential of their careers. Our global team is driven by purpose. We strive to be better, learn and improve every day in everything we do. We’re the problem solvers and innovators that aren’t afraid to take risks to transform the world of human health and well-being. We’re all in it together delivering benefit as one to provide the insights needed today in order to solve the challenges of tomorrow. 

 

 

Diversity and inclusion are fundamental to our core values at Waters Corporation. It is our responsibility to actively implement programs and practices to drive inclusive behavior and increase diversity across the organization. We are united by diversity and thrive on it for the benefit of our employees, our products, our customers and our community. Waters is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or protected Veteran status. 

Key Words

MDM, Data Modeling, Architect, Data Domains, Data Products, Integration, Automation, SAP S4 Hana, Salesforce, Ariba, Data Engineering, Data Quality, Data Governance, ETL, SQL