Senior Data Platform Engineer

Match Group
New York
Workplace: HybridFull timeUSD 186,000 - 223,000 annuallyFunction: DevOps, Cloud & InfrastructureExperience: 4+ yearsEducation: bachelorsSkills: ["Communication","Problem-solving"]

Own and evolve the data platform at Match Group’s Hinge, building a scalable lakehouse, robust data pipelines, and observability to support reporting, analytics, and ML/AI use cases. Lead cross‑functional collaboration with BI, Product Data Engineering, Data Science, MLE & AI, ensuring data quality, governance, and cost efficiency while enabling data‑driven decisions and continuous improvements. Participate in on‑call reliability and solicit user feedback to improve productivity tooling.

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FursaFursa
Match Group
Match Group
4 months ago

Senior Data Platform Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 18 hours agoStatus: Live

Job Summary

Own and evolve the data platform at Match Group’s Hinge, building a scalable lakehouse, robust data pipelines, and observability to support reporting, analytics, and ML/AI use cases. Lead cross‑functional collaboration with BI, Product Data Engineering, Data Science, MLE & AI, ensuring data quality, governance, and cost efficiency while enabling data‑driven decisions and continuous improvements. Participate in on‑call reliability and solicit user feedback to improve productivity tooling.
Location: New York
Workplace: Hybrid
Employment Type: Full time
Job Function: DevOps, Cloud & Infrastructure

Key Responsibilities

  • •Design, develop, and maintain core services within the data platform.
  • •Build and maintain the lakehouse for reporting, analytics, and ML use cases.
  • •Maintain and enhance data pipelines and database management frameworks, including automation, monitoring, governance, and cost optimization.
  • •Develop observability systems for holistic system and data quality monitoring.
  • •Incorporate internal user feedback to ensure productivity tooling meets developers’ needs.

Pay and Benefits

Salary: USD 186,000 - 223,000 annually
Perks:401kLearning BudgetParental LeaveFertility SupportDate Stipend

Key Requirements

  • •4+ years of professional/industry experience.
  • •Experience in building, automating, and enhancing tools and frameworks for the data platform to streamline pipeline development.
  • •Experience modeling data sets for different types of sources and business processes.
  • •Strong communication skills (written/verbal).
  • •Exposure to ML Ops or other data engineering workloads.
Experience:4+ yearsData engineeringData platformML Ops
Education:Bachelor's
Skills:CommunicationProblem-solving
Languages:English
Tech Stack:PythonGoScalaJavaGCPAWSAzureKubernetesDockerTerraformCircleCIGitHub ActionsKafkaPubSubDataflowRedshiftBigQueryDatabricksDbtLooker

Company Brief

Match Group
Operates a portfolio of consumer dating products and services, including Tinder, Match.com, PlentyOfFish, and Hinge, connecting millions of users globally through mobile and web platforms.
Industry: Digital Media
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Dallas, United States
Founded: 1995
Glassdoor
Glassdoor: 3.8
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