NielsenIQ

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

NielsenIQ
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5 hours ago
Toronto, CanadaStaff+

Responsibilities

  • Own the overall health, reliability, performance, scalability, and operational excellence of the CPS 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.
  • Drive improvements in observability, monitoring, alerting, SLAs, KPIs, and platform health metrics.
  • Define and execute the platform’s technical strategy and roadmap across on-premise and Azure-based systems.
  • Review system designs, provide technical guidance, manage technical debt, and ensure solutions are scalable, maintainable, secure, and cost-effective.
  • Act as engineering lead for strategic OmniShopper initiatives and translate business requirements into technical solutions.
  • Coordinate execution, risks, dependencies, prioritization, and stakeholder communications across engineering and business teams.
  • Collaborate with Data Science, PMO, Operations, Product Leadership, and global Engineering teams.

Requirements

  • 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 and supporting enterprise-scale data platforms.
  • Proven ability to influence multiple organizations and stakeholders without direct authority.
  • Strong hands-on experience with Python, Oracle Database, Linux environments, SQL performance tuning, Azure Data Services, PySpark, Parquet datasets, ETL and data engineering frameworks, and data quality or validation platforms.
  • Experience leading complex incident resolution efforts and communicating effectively with technical and non-technical audiences.
  • Preferred experience in retail measurement, consumer panels, syndicated data, OmniShopper, Homescan, consumer analytics, Data Science, advanced analytics, modern data quality, governance, or observability frameworks.

Benefits

  • Flexible working environment.
  • Volunteer time off.
  • LinkedIn Learning.
  • Employee Assistance Program (EAP).
  • Annual compensation listed as CAD 112700 - CAD 140000.

Tech Stack

AzureLinuxOracle DatabasePythonSQL

Categories

Data Engineering
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