Senior Manager, Enterprise Data Platform

Zscaler

Senior Manager driving architecture and evolution of enterprise data platform at Zscaler. Leading teams to implement AI-ready strategies and self-service analytics within US remote environment.

Posted 7/6/2026full-timeRemote • 🇺🇸 United StatesSenior💰 $196,000 - $245,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in defining technical roadmaps and architectures for Enterprise Data Platforms, with a strong focus on AI readiness and self-service data environments. Proven ability to lead and mentor high-performing teams in data engineering and analytics.

Highest-signal resume keywords

Technical Strategy DevelopmentData Engineering LeadershipSnowflake ArchitectureETL/ELT Tools ProficiencyPython and SQL Programming

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data Pipeline DesignAnalytics EngineeringRetrieval-Augmented Generation (RAG)Data Mesh FrameworkData Governance Implementation

Soft Skills

Hands-On ManagementMentoring

Tools & Technologies

SnowflakeDbtCloud-Native ETL/ELT Tools

Industry Keywords

AI-Ready UnitsSelf-Service Data PlatformData ObservabilityCost Attribution

Tech Stack

Tools & technologies

CloudETLPythonSQL

About the role

Key responsibilities & impact

Define the long-term technical roadmap, architecture, and strategy for the Enterprise Data Platform
Empower decentralized business functions to be entirely self-sufficient
Advance both the central and federated teams to become truly AI-ready
Implement frameworks for robust platform governance, data observability, and transparent cost attribution
Lead from the front as a hands-on manager

Requirements

What you’ll need

Demonstrated experience driving technical strategies to transition traditional data structures and business intelligence teams into AI-ready units
5+ years of experience leading, mentoring, and growing high-performing data engineering, platform engineering, or analytics engineering teams
Deep architectural and operational knowledge of Snowflake and dbt
Hands-on knowledge of designing data pipelines (ETL), analytics, and building/serving Retrieval-Augmented Generation (RAG) architectures
Practical experience implementing or operating within a self-service data platform environment and a Data Mesh architectural framework
Strong hands-on experience with cloud-native ETL/ELT tools and strong software engineering skills in Python and SQL

Benefits

Comp & perks

Various health plans
Time off plans for vacation and sick time
Parental leave options
Retirement options
Education reimbursement
In-office perks, and more!