Sr Manager, Enterprise Data Engineering
Palo Alto Networks, Inc. (company site, opens in a new tab)12+ yrsBengaluruOn-siteDirect career pageEst. 40–65 LPA
Posted on 17 Sept
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Job description
Structured overview of role & requirements
About This Role
- Lead design and architecture of scalable enterprise data pipelines, lakehouse infrastructure, and end-to-end ML model development ensuring high availability and fault tolerance.
- Oversee deployment, serving, scaling, and monitoring of machine learning models in production with robust MLOps practices.
- Manage and mentor a team of data and ML engineers, driving engineering rigor, autonomy, and alignment with business objectives.
Minimum Requirements
- 12+ years total experience in data engineering and MLOps.
- 7+ years managing data and/or ML engineering teams.
- Hands-on expertise with modern data platforms (especially Google Cloud Platform), distributed computing, Python, and SQL.
- Role is not eligible for immigration sponsorship (work visa) per the JD.
Ideal Candidate Profile
- Experienced player-coach capable of hands-on technical guidance including code reviews and ML architecture discussions.
- Proven ability to deliver enterprise-scale, high-throughput data and AI solutions across global stakeholders.
- Strong operational focus on CI/CD, data governance, quality metrics, and scalable MLOps frameworks in an enterprise environment.