Principal Pricing Data Engineer

As a Principal Pricing Data Engineer, you will be a senior technical contributor and domain expert who partners closely with other members of the Pricing Excellence team, as well as colleagues across each Division. You will bring deep technical expertise and own technical solutions for the pricing domain, operating with a high degree of independence. You will design, build, and enhance robust data pipelines, platforms, and automation that specifically enable pricing strategy, analytics, and execution. This includes supporting advanced pricing capabilities such as price waterfall analysis, discount optimization, segmentation, and margin expansion.

This role remains hands-on but with elevated responsibility for data architecture, pricing data models, and cross-functional alignment. You will serve as a key problem solver for complex pricing data challenges and a trusted partner to both technical and business stakeholders, ensuring pricing data is accurate, accessible, and actionable across the enterprise.

Responsibilities

Pricing Data Engineering & Architecture

• Design and build scalable, reliable data pipelines that ingest, validate, transform, and persist pricing-relevant data, including:

• Transactional sales data (orders, invoices, contracts)
• Price lists, discounts, rebates, and surcharges
• Cost, margin, and profitability data

Develop and maintain pricing-specific data models, including:

• Price waterfall
• Customer and product segmentation hierarchies
• Realized price and margin analytics

Define and implement the end-to-end pricing data architecture, ensuring integration across systems such as ERP, CRM, and CPQ.

Establish scalable frameworks to support global pricing governance and standardization across divisions and regions. Advanced Data Engineering & Platform Development

• Contribute to and influence data platform design for analytics, machine learning, and Agentic AI workloads, with a focus on pricing use cases.

• Build high-performance data pipelines capable of supporting:

• Large-scale transactional datasets
• Near real-time pricing insights and monitoring

Implement and maintain data quality checks, validation logic, and monitoring dashboards to ensure pricing data integrity and auditability.

Optimize data pipelines for performance, cost efficiency, and scalability in cloud environments. Pricing Analytics & Decision Enablement

• Partner closely with Global Pricing and Commercial teams to translate business problems into scalable data solutions.

• Enable advanced pricing analytics, including:

• Price realization and leakage analysis
• Discount and rebate effectiveness
• Customer/product elasticity modeling (in collaboration with data science)

Ensure pricing data is model-ready, traceable, and reproducible for analytics and machine learning applications.

Support development of pricing dashboards, KPIs, and reporting frameworks used by senior leadership. Software Engineering Excellence

• Develop production-grade Python code using strong OOP and functional programming practices.
• Follow and promote sound engineering practices, including modular design, testing, readability, and maintainability.
• Participate actively in code reviews, automated testing, and source control workflows.

• Bachelor’s degree in Computer Science, Engineering, or a related field, plus 8+ years of relevant industry experience, or equivalent practical experience.
• Advanced proficiency in Python and SQL, with a strong focus on data engineering use cases.
• Proven experience building and operating end-to-end data pipelines (ETL/ELT) in modern data environments.
• Solid understanding of source control, collaborative development workflows, and production support.
• Strong experience working with commercial and pricing-related data (e.g., sales transactions, pricing, margins, rebates).
• Experience mentoring peers and contributing to technical best practices within a team environment.
• Strong communication skills and the ability to work effectively with both technical and non-technical partners.
• Demonstrated drive, curiosity, humility, and ability to learn.

Nice to Have / Plus Qualifications

• Familiarity with process mining platforms such as Celonis, including working with event-based data and enabling transparency into end-to-end business processes.
• Strong business domain knowledge and experience working with enterprise systems such as SAP (e.g., supply chain data, orders, revenue recognition, pricing), Salesforce (commercial operations), and/or Service Excellence domains, with the ability to translate business processes into scalable data solutions.

Waters Corporation (NYSE:WAT) is a global leader in life sciences and diagnostics, dedicated to accelerating the benefits of pioneering science through analytical technologies, informatics, and service. With a focus on regulated, high-volume testing environments, our innovative portfolio harnesses deep scientific expertise across chemistry, physics, and biology. We collaborate with customers around the world to advance the release of effective, high-quality medicines, ensure the safety of food and water, and drive better patient outcomes by detecting diseases earlier, managing routine infections, and combating antibiotic resistance. Through a shared culture of relentless innovation, our passionate team of ~16,000 colleagues turn scientific challenges into breakthroughs that improve lives worldwide.