Principal Data Engineer – CPS DataValidation Platform (OmniShopper & Homescan)

Résumé du poste

The Principal Data Engineer will own the health, reliability, and scalability of the CPS DataValidation platform while leading technical strategy and incident management. They will collaborate across cross-functional teams to drive modernization efforts and ensure alignment with strategic business initiatives.

Détails du poste

Company Description We are seeking a highly experienced Principal Engineer to provide technical leadership and operational ownership for the CPS DataValidation platform supporting NielsenIQ's OmniShopper and Homescan solutions. This role serves as the primary technical point of contact for production support, platform reliability, and strategic OmniShopper initiatives. The successful candidate will drive modernization across a hybrid ecosystem spanning on-premise and Azure platforms while partnering closely with Data Science, PMO, Operations, Product Leadership, and Engineering teams located primarily in the US Eastern Time zone. Job Description Platform Ownership & Production Leadership Own the overall health, reliability, performance, and scalability of the DataValidation platform. Serve as the primary engineering escalation point for production incidents and business-critical issues. Lead incident management, root cause analysis, and post-incident remediation activities. Drive improvements in observability, monitoring, alerting, and operational excellence. Establish and maintain operational KPIs, SLAs, and platform health metrics. Technical Leadership Define and execute the technical strategy and roadmap for the DataValidation platform. Participate to architecture decisions across both on-premise and Azure-based systems. Ensure solutions are scalable, maintainable, secure, and cost-effective. Review system designs and provide technical guidance to development teams. Balance technical debt reduction with business delivery commitments. Act as the engineering lead for strategic OmniShopper initiatives. Collaborate with Product Leadership and PMO to define technical solutions supporting business objectives. Coordinate execution across multiple engineering and business teams. Ensure DataValidation capabilities align with future OmniShopper and Homescan requirements. Cross-Functional Collaboration Partner closely with: Data Science teams PMO Operations teams Product Leadership Global Engineering teams Responsibilities include: Translating business requirements into technical solutions. Managing technical risks and dependencies. Driving prioritization discussions. Communicating platform health and roadmap updates to stakeholders. Influencing decision-making without direct authority. Qualifications Experience 10+ years of software engineering experience. 5+ years in Staff Engineer, Principal Engineer, Architect, or equivalent technical leadership roles. Experience owning mission-critical production systems. Experience supporting enterprise-scale data platforms. Proven success influencing multiple organizations and stakeholders. Technical Skills Strong hands-on experience with: Python Oracle Database Linux environments SQL performance tuning Azure Data Services PySpark Parquet datasets ETL and data engineering frameworks Data quality and validation platforms Leadership Skills Strong stakeholder management skills. Excellent communication with technical and non-technical audiences. Ability to work effectively across global teams. Strong ownership mindset and bias for action. Experience leading complex incident resolution efforts. Preferred Qualifications Retail measurement, consumer panel, or syndicated data domain experience. Experience working with OmniShopper, Homescan, or similar consumer analytics platforms. Experience working with Data Science and advanced analytics teams. Knowledge of modern data quality, governance, and observability frameworks. Additional Information Our Benefits Flexible working environment Volunteer time off LinkedIn Learning Employee-Assistance-Program (EAP) NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including résumé screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks that help streamline workflows. These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria. All use of AI is governed by NIQ’s principles of fairness, transparency, human oversight, and inclusion. Final hiring decisions are made exclusively by humans. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions, require accommodations, or wish to request human review were permitted by law, please contact your local HR representative. For more information, please visit NIQ’s AI Safety Policies and Guiding Principles: https://nielseniq.com/global/en/info/niqs-ai-safety-policies/ About NIQ NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. For more information, visit NIQ.com Want to keep up with our latest updates? Follow us on: LinkedIn | Instagram | Twitter | Facebook Our commitment to Diversity, Equity, and Inclusion At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence. All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the https://nielseniq.com/global/en/news-center/diversity-inclusion Career Site Team: Technology Compensation: CAD 112700 - CAD 140000 - yearly

Ce que vous ferez

The Principal Data Engineer will own the health, reliability, and scalability of the CPS DataValidation platform while leading technical strategy and incident management. They will collaborate across cross-functional teams to drive modernization efforts and ensure alignment with strategic business initiatives.

Exigences

Candidates must have over 10 years of software engineering experience, including at least 5 years in a technical leadership or architect role. Strong proficiency in Python, SQL, Azure Data Services, and data engineering frameworks is required to manage mission-critical production systems.

Avantages

• Flexible working environment • Volunteer time off • LinkedIn Learning • Employee-Assistance-Program

Compétences indiquées

• SQL · Souhaitée
• Incident Management · Souhaitée
• Linux · Souhaitée
• Stakeholder Management · Souhaitée
• Python · Souhaitée

Autres compétences pertinentes

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Python
• Oracle Database
• Linux
• SQL
• Azure Data Services
• PySpark
• Parquet
• ETL
• Data engineering
• Data quality
• Incident management
• Technical leadership
• Stakeholder management
• Observability
• System architecture
• Cloud migration
• Technical Strategy
• Cross-Functional Collaboration
• Workplace Inclusivity
• Product Leadership
• AI Safety
• Apache Parquet
• Workflow Management
• Business Objectives
• Advanced Analytics
• Technical Leadership
• Administrative Functions
• Consumer Analytics
• Artificial Intelligence
• Microsoft Azure
• Business Requirements
• Decision Making
• Communication
• Data Domain
• Data Engineering
• Extract Transform Load (ETL)
• Data Quality
• Employee Assistance Programs
• Governance
• Leadership
• Scalability
• Incident Management
• Innovation
• Python (Programming Language)
• Key Performance Indicators (KPIs)
• Operational Excellence
• Operations
• Oracle Databases
• Performance Tuning
• Software Engineering

Domaines d’emploi

• Technology
• Data & Analytics
• Software
• Engineering
• Management & Leadership
• Principal Engineer
• Platform Engineer
• Software and Applications Developers and Analysts Not Elsewhere Classified
• Validation Engineers
• Industrial Engineers