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5 дней назад

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

112 700 - 140 000CAD
Формат работы
onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR
Principal Data Engineer – CPS DataValidation Platform (OmniShopper & Homescan) (Python/Azure/Data Engineering): Owning and modernizing a mission-critical DataValidation platform across on-premise and Azure environments with an accent on reliability, scalability, production operations, and data quality. Focus on leading incident resolution, defining platform architecture and roadmaps, tuning SQL performance, and coordinating complex technical initiatives across engineering, data science, operations, and product teams.

Location: 5140 Yonge Street, Toronto, Ontario, Canada

Salary: CAD 112,700–CAD 140,000 per year

Company

hirify.global is a consumer intelligence company providing retail measurement, consumer insights, advanced analytics, and data platforms across global markets.

What you will do

  • Own the reliability, performance, scalability, and operational health 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, remediation, observability, monitoring, alerting, and operational KPI development.
  • Define and execute the platform's technical strategy, architecture, roadmap, and modernization across on-premise and Azure systems.
  • Provide technical guidance to development teams and lead strategic OmniShopper initiatives.
  • Coordinate requirements, risks, dependencies, prioritization, and execution across engineering, data science, PMO, operations, and product teams.

Requirements

  • 10+ years of software engineering experience and 5+ years in Staff Engineer, Principal Engineer, Architect, or equivalent technical leadership roles.
  • Experience owning mission-critical production systems and enterprise-scale data platforms.
  • Strong hands-on experience with Python, Oracle Database, Linux, SQL performance tuning, Azure Data Services, PySpark, Parquet datasets, ETL, and data engineering frameworks.
  • Experience with data quality and validation platforms, complex incident resolution, stakeholder management, and cross-functional technical leadership.
  • Ability to work effectively with global teams, including teams located primarily in the US Eastern Time zone.

Nice to have

  • Retail measurement, consumer panel, syndicated data, OmniShopper, Homescan, or similar consumer analytics experience.
  • Experience working with Data Science and advanced analytics teams.
  • Knowledge of modern data quality, governance, and observability frameworks.

Culture & Benefits

  • Flexible working environment.
  • Volunteer time off.
  • LinkedIn Learning.
  • Employee Assistance Program.
  • AI-supported recruitment processes with human-only final hiring decisions.

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