Lead Service Management Engineer

Mastercard
United States
Workplace: OnsiteFull timeUSD 122,000 - 207,000 annuallyFunction: Administration & Executive AssistanceExperience: 8-12 yearsSkills: ["Leadership","Code reviews","Problem-solving","Mentorship","Cross-functional collaboration","Data governance","Systems thinking"]

Build and lead end-to-end data engineering for AI and generative AI initiatives within the Architecture & Analytics team. Own data architecture and modeling, design scalable ETL/ELT pipelines with low-latency reliability, and ensure data quality, governance, and anonymization for sensitive data. Provide hands-on technical leadership through code reviews and best practices while collaborating with engineers, scientists, and product stakeholders to deliver data components in agile sprints.

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FursaFursa
Mastercard
Mastercard
1 month ago

Lead Service Management Engineer

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI
Status: Live
Reposted: similar role first listed 4 months ago

Job Summary

Build and lead end-to-end data engineering for AI and generative AI initiatives within the Architecture & Analytics team. Own data architecture and modeling, design scalable ETL/ELT pipelines with low-latency reliability, and ensure data quality, governance, and anonymization for sensitive data. Provide hands-on technical leadership through code reviews and best practices while collaborating with engineers, scientists, and product stakeholders to deliver data components in agile sprints.
Location: United States
Workplace: Onsite
Employment Type: Full time
Job Function: Administration & Executive Assistance
Seniority: Mid level

Key Responsibilities

  • •Own data architecture and modeling strategy for AI projects, defining how data is stored, organized, and accessed.
  • •Lead development of robust ETL/ELT workflows and data models, delivering large datasets with high reliability and low latency for training and inference.
  • •Oversee data governance and compliance, including data anonymization, quality checks, lineage, and controls for sensitive information.
  • •Provide hands-on technical leadership across data engineering projects, including code reviews and enforcing best practices.
  • •Collaborate with engineers, scientists, and product stakeholders to scope work and deliver data components aligned with agile sprint milestones.

Pay and Benefits

Salary: USD 122,000 - 207,000 annually
Perks:Health InsuranceDentalVision401kPaid Leave

Key Requirements

  • •8–12+ years in data engineering or backend engineering, including senior/lead roles, designing end-to-end data systems and production pipelines.
  • •Strong Python and/or Java/Scala skills with deep experience in Spark, Hadoop, Hive/Impala, and Airflow.
  • •Hands-on cloud experience with AWS, Azure, or GCP, including services such as S3, Glue, EMR, or Data Factory.
  • •Knowledge of AI/ML data lifecycle including dataset preparation and feature/label management, with experience supporting real-time or batch training pipelines.
  • •Ability to translate ambiguous goals into clear plans and provide leadership, mentorship, and rigorous code review.
Experience:8-12 years
Skills:LeadershipCode reviewsProblem-solvingMentorshipCross-functional collaborationData governanceSystems thinking
Tech Stack:PythonJavaScalaSparkHadoopHiveImpalaAirflowAWSAzureGCPS3GlueEMRData FactoryETLELTAIMachine learningGenerative AI

Company Brief

Mastercard
Mastercard is a global payments and technology company that processes transactions, provides fraud prevention and data services, and builds payment infrastructure for consumers, businesses, merchants and governments across 200+ countries.
Industry: Payments
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Purchase, New York, United States
Founded: 1966
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