Sr Data Engineer

Overview

We are seeking a Senior Data Engineer to own and evolve the commercial data ecosystem that powers insights, performance management, and process optimization at scale. You will architect and deliver advanced data pipelines, analytical data models, front-ends, and Celonis process-mining assets that improve visibility, drive adherence to global processes, and enable data-driven decision-making across Sales, Marketing, Inside Sales, and Commercial Operations. The role emphasizes hands-on engineering and technical leadership, with a deep focus on Celonis process mining, process-adherence mapping, and execution management dashboards.

Responsibilities

• Work with team members to understand business requirements.
• Collaborate with data scientists, business process analysts, and other SMEs to ensure alignment on business objectives and technical requirements.
• Maintain a results-oriented mentality and operate with a high sense of urgency. Demonstrate a proven track record of solving problems, breaking down barriers, and delivering results ahead of schedule.
• Design, build, and optimize scalable data pipelines integrating CRM (Salesforce), ERP (SAP), marketing platforms (Marketo), and external datasets.
• Model analytics-ready, reusable data layers supporting funnel analytics, forecasting, segmentation, territory management, and sales performance.
• Own Celonis data models and event logs; build process-mining analyses, adherence/conformance views, action flows, and operational KPI dashboards.
• Implement robust SQL and Python transformations following modular, version-controlled, and testable patterns (e.g., dbt or similar).
• Ensure performance, reliability, cost efficiency, and data integrity across pipelines and models (orchestration, monitoring, observability).
• Translate business requirements into scalable technical designs; articulate trade-offs and assumptions to technical and non-technical audiences.
• Establish data definitions, lineage, and automated validation for commercial reporting; lead root-cause investigations for data quality issues.

Qualifications

• Bachelor's or Master's in Computer Science, Engineering, Information Systems, Mathematics, or related field.
• 12+ years in data/analytics/BI engineering with end-to-end pipeline ownership in production.
• Expert SQL (advanced joins, window functions, performance tuning) and strong Python (ETL/ELT, APIs, automation).
• Hands-on experience with Celonis (or equivalent) including event log design, knowledge models, process-mining analysis, and adherence/conformance.
• Experience building executive-ready dashboards in Celonis, Power BI, or Tableau.
• Proven ability to translate commercial requirements into scalable, maintainable data solutions and communicate clearly across functions.

Company Description

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.

Diversity and inclusion are fundamental to our core values at Waters Corporation. It benefits our employees, our products, our customers and our community. Waters complies with all applicable federal, state, and local laws. Qualified applicants are considered without regard to sex, race, color, ancestry, national origin, citizenship status, religion, age, marital status (including civil unions), military service, veteran status, pregnancy (including childbirth and related medical conditions), genetic information, sexual orientation, gender identity, legally recognized disability, domestic violence victim status, or any other characteristic protected by law. Waters is proud to be an equal opportunity workplace and is an affirmative action employer. All hiring decisions are based solely on qualifications, merit, and business needs at the time.

Key Words

#LI- Hybrid
#Salesforce
#SAP
#Marketo
#Cloud data engineering
#Azure
#Synapse
#Snowflake
#ELT
#CI/CD
#gitworkforws
#testing
#validation
#frameworks
#data observability
#KPI
#funnel forecast
#segmentation
#territory Management
#Databricks Experience
#Celonis
#Python