AI & Data Platform Engineering Manager (Hybrid)

Zscaler, Inc.

Santa Clara (CA)

Hybrid

USD 164,000 - 205,000

Full time

37 hours ago
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Benefits offered by this job

Time off plans
Parental leave options
Retirement options
In-office perks

Job summary

Zscaler, Inc. in Santa Clara, CA is seeking a technically strong Manager – AI & Data Platform Engineering. You will lead a distributed team across the US and India, owning the enterprise data and AI platforms, pipelines, and knowledge assets.

The role combines architecture, hands-on engineering, and leadership to evolve our platform into an AI-ready data and knowledge foundation. You will drive roadmaps, partner with architects, own platform strategy, and build reusable operational standards to

Qualifications

  • 10+ years of software engineering, data engineering, or data architecture experience.
  • 3+ years of engineering team leadership.
  • Strong hands-on Python and SQL with distributed systems knowledge.
  • Experience designing and operating production-grade data platforms on AWS using Snowflake, Databricks, or BigQuery and dbt.

Responsibilities

  • Lead a team of data and AI engineers across the US and India, managing performance and delivery.
  • Own the Data Platform (Snowflake, dbt, Matillion) and pipelines turning data into AI-ready assets.
  • Translate platform strategy into roadmaps and quarterly plans with architecture leadership.
  • Operate the platform as a product for internal customers, defining SLAs and onboarding paths.
  • Build automated operations for pipelines, data quality checks, and remediation.

Skills

Generative AI architectures
RAG
enterprise knowledge systems
Python
SQL
AWS
Snowflake
Databricks
BigQuery
dbt
data platform engineering
leadership

Tools

Snowflake
dbt
Matillion
Databricks
BigQuery

Job description

Zscaler, Inc. in Santa Clara, CA is seeking a technically strong Manager – AI & Data Platform Engineering. You will lead a distributed team across the US and India, owning the enterprise data and AI platforms, pipelines, and knowledge assets.

The role combines architecture, hands-on engineering, and leadership to evolve our platform into an AI-ready data and knowledge foundation. You will drive roadmaps, partner with architects, own platform strategy, and build reusable operational standards to

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