OverviewAs a Principal Data Engineer (Service), you will be a senior technical contributor who partners closely with the Service Excellence team, data and analytics teams, and service business leaders across four commercial divisions representing $1.7B in service revenue. You will bring deep technical expertise in service business data domains, operate with a high degree of independence, and contribute to the design and delivery of scalable data platforms that enable strategic decision-making for revenue growth, margin expansion, and operational excellence initiatives targeting $200M+ in EBIT improvement.
Role OverviewThe Principal Data Engineer (Service) designs, builds, and enhances robust data platforms and pipelines that integrate service delivery, financial, operational, and workforce data to support strategic planning, business case development, and performance monitoring. This role is primarily hands-on, with opportunities to contribute to platform design, data integration architecture, and cross-team collaboration. You will be a key problem solver for complex service data challenges and a trusted partner to both technical and business stakeholders driving service transformation.
ResponsibilitiesData Engineering- Design and build scalable, reliable data platforms that integrate service delivery data (work orders, cases, products, geography), service team member data (roles, locations, workloads), service revenue and cost data, and proforma P&L information to enable strategic decision-making
- Develop and maintain data pipelines that ingest, validate, transform, and persist data from enterprise systems including Salesforce, ServiceMax, SAP ERP, RingCentral, and Genesys, ensuring data quality and reliability
- Contribute to data platform design for analytics, business case modeling, capacity optimization, and operational monitoring workloads, with a focus on performance, reliability, and maintainability
- Implement and maintain data quality checks, validation logic, and monitoring dashboards to ensure data health and trust across service business domains
Software Engineering- 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
Analytics & Business Enablement- Partner with Service Excellence leaders, Finance Business Partners, and Data Scientists to ensure data is model-ready, reproducible, and well understood for business case development, financial planning, and performance tracking
- Support analytical workflows that enable proforma P&L modeling, capacity optimization, margin analysis, and value realization tracking across service transformation initiatives
- Translate service business requirements into scalable data solutions that support revenue growth, operational excellence, and integration objectives
QualificationsRequired Qualifications- 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
- Experience integrating and enhancing data from enterprise systems including Salesforce, ServiceMax, SAP ERP, or similar platforms
- Strong service business domain knowledge with understanding of service delivery operations, work order management, case management, service revenue and cost structures, and workforce optimization
- Solid understanding of source control, collaborative development workflows, and production support
- 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
- Experience with financial data modeling and integration, including P&L structures, cost allocation, and margin analysis
- Experience with capacity modeling, workforce optimization, or operational analytics in service delivery environments
- Experience with RingCentral or Genesys contact center data integration
- Experience supporting M&A integration or complex organizational change initiatives
Key Words#LI-Hybrid
#Data Engineer
