Platform Customer Success Engineer, Data & AI

Procter & Gamble
Poland
Workplace: HybridFull timeFunction: Customer Success & Account ManagementSkills: ["Databricks","Python","Spark","PySpark","SQL","Azure","GitHub","GitHub Actions","CI/CD","SonarQube","Snyk"]

Technical data-focused Platform Customer Success Engineer responsible for helping engineering, analytics and DevOps teams adopt and scale the enterprise Data & Analytics platform. You will assist with onboarding, design robust implementations, build automation, and improve developer experience by partnering with platform engineering and customer teams on CI/CD, API integration, Databricks, Azure, and AI-enabled data solutions.

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FursaFursa
Procter & Gamble
Procter & Gamble
2 months ago

Platform Customer Success Engineer, Data & AI

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 9 days agoStatus: Live

Job Summary

Technical data-focused Platform Customer Success Engineer responsible for helping engineering, analytics and DevOps teams adopt and scale the enterprise Data & Analytics platform. You will assist with onboarding, design robust implementations, build automation, and improve developer experience by partnering with platform engineering and customer teams on CI/CD, API integration, Databricks, Azure, and AI-enabled data solutions.
Location: Poland
Workplace: Hybrid
Employment Type: Full time
Job Function: Customer Success & Account Management

Key Responsibilities

  • •Enable and support internal teams in effectively adopting and building on enterprise platform capabilities.
  • •Develop AI-powered support capabilities, automation solutions, and self-service experiences to improve customer productivity and reduce support effort.
  • •Partner with data engineers, architects, asset managers, and development teams to design and implement robust technical solutions.
  • •Guide users on platform setup, API integration, GitHub workflows, CI/CD implementation, and engineering best practices.
  • •Build and promote reusable “golden path” solutions that simplify platform adoption and accelerate delivery across teams.

Pay and Benefits

Perks:Health InsuranceEquitySavings PlanSport Cards

Key Requirements

  • •Experience in Data Engineering, Platform Engineering, DevOps Engineering, Cloud Engineering or a similar technical discipline.
  • •Excellent communication and stakeholder management skills.
  • •Hands-on experience with Databricks, Python Spark/PySpark, SQL, Azure Cloud Services, and GitHub.
  • •Experience designing and implementing CI/CD pipelines using GitHub Actions, SonarQube, Snyk or equivalent.
  • •Strong understanding of distributed computing concepts and large-scale data processing.
Experience:Data analyticsCloudDevOpsDatabricks
Skills:DatabricksPythonSparkPySparkSQLAzureGitHubGitHub ActionsCI/CDSonarQubeSnyk
Tech Stack:DatabricksPythonSparkPySparkSQLAzureGitHubGitHub ActionsCI/CDSonarQubeSnyk

Company Brief

Procter & Gamble
Procter & Gamble is a global consumer goods company that develops, manufactures, and markets branded household, personal care, and health products across categories like beauty, grooming, health care, fabric & home care, and baby & family care.
Industry: Consumer Goods
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Cincinnati, United States
Founded: 1837
WebsiteLinkedIn