AI Platforms Engineer
Workday (company site, opens in a new tab)5+ yrsPuneOn-siteDirect career pageEst. 25–40 LPA
Posted on 1 Sept
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Job description
Structured overview of role & requirements
About This Role
- Design, build, and test scalable cloud data platforms and self-service architecture to empower cross-functional teams.
- Develop and maintain tools ensuring data security, privacy compliance (PII, PCI, CCPA, SOX, GDPR), and reliability through automation and anomaly detection.
- Drive platform innovation by evaluating new tools, collaborating globally, and aligning architecture with company technology and SDLC strategies.
Minimum Requirements
- 5+ years of experience in data engineering.
- Strong expertise with Databricks and modern data stack technologies.
- Proficient in at least one programming language (Python, Scala, or Java) plus advanced SQL skills.
- Experience with big data pipelines in cloud environments (AWS/GCP/Azure), Terraform for IaC, and Git for version control.
Ideal Candidate Profile
- Experienced in leading complex, cross-functional data engineering projects from concept to production deployment.
- Strategic thinker with deep understanding of data modeling, architecture, and performance optimization for analytical workloads.
- Able to communicate complex technical concepts effectively to non-technical stakeholders and collaborate across global teams.