Senior Data Engineer

Workday
Pune
Workplace: OnsiteFull timeFunction: Solutions Engineering & Sales EngineeringExperience: 8+ yearsSkills: ["Communication","Stakeholder management","Problem-solving","Leadership"]

Lead the technical evolution of an internal data ecosystem by designing and building next-generation data lakes, high-throughput data pipelines, and platform infrastructure. You’ll translate business goals into scalable architectures, enforce standards for data quality, observability, governance, and performance, and collaborate across AI Ops, Infrastructure, and Security. Partner to ensure reliable, high-velocity data that powers AI enablement, machine learning, and advanced business intelligence.

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FursaFursa
Workday
Workday
2 hours ago

Senior Data Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 2 hours agoStatus: Live

Job Summary

Lead the technical evolution of an internal data ecosystem by designing and building next-generation data lakes, high-throughput data pipelines, and platform infrastructure. You’ll translate business goals into scalable architectures, enforce standards for data quality, observability, governance, and performance, and collaborate across AI Ops, Infrastructure, and Security. Partner to ensure reliable, high-velocity data that powers AI enablement, machine learning, and advanced business intelligence.
Location: Pune
Workplace: Onsite
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Own hands-on engineering of large-scale data structures, including data lakes, platform modernizations, and high-throughput pipelines
  • •Translate business objectives into scalable technical architectures, detailed design specifications, and engineering roadmaps
  • •Implement and enforce technical standards for data quality, system observability, governance, and performance tuning
  • •Collaborate with AI Ops, Infrastructure, and Security teams to integrate and optimize infrastructure
  • •Design and deploy sophisticated data processing pipelines to ensure high data velocity and reliability for enterprise AI applications

Key Requirements

  • •8+ years of experience in data engineering
  • •Strong hands-on experience with modern data stack technologies
  • •Proficiency in at least one data engineering programming language (e.g., Python, Scala, Java) and strong SQL skills
  • •Experience designing and operating large-scale cloud data pipelines (AWS, GCP, or Azure)
  • •Solid understanding of data modeling, data architecture, and performance optimization for analytical workloads
Experience:8+ years
Skills:CommunicationStakeholder managementProblem-solvingLeadership
Tech Stack:PythonScalaJavaSQLAWSGCPAzureCI/CDData lakesData pipelinesData modelingData architectureObservabilityGovernancePerformance tuning

Company Brief

Workday
Provides cloud-based enterprise applications for human capital management, financial management, payroll, and analytics. Delivers unified HR and finance software suites to large organizations, enabling workforce planning, talent management, payroll, and financial reporting.
Industry: HR Tech
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Pleasanton, United States
Founded: 2005
WebsiteLinkedIn