Senior Manager, Data Engineering

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🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $196k - $245k / year

⏰ Full Time

🟠 Senior

👮‍♀️ Software Engineering Manager

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Zscaler

WebsiteLinkedInAll Job Openings

5001 - 10000 employees

Founded 2008

🔒 Cybersecurity

☁️ SaaS

🏢 Enterprise

💰 Secondary Market on 2017-11

Cybersecurity • SaaS • Enterprise

Zscaler is a leading provider of cloud-based cybersecurity solutions, specializing in Zero Trust architecture. The company enhances security and connectivity for organizations by enabling seamless, secure access to applications and data across various environments, including the cloud, on-premises data centers, and IoT systems. With proven ROI and significant reductions in cybersecurity risks, Zscaler empowers enterprises to protect their digital resources while optimizing operational costs.

📋 Description

• Drive platform strategy and architecture by defining the technical roadmap and long-term vision for the Enterprise Data Platform utilizing Snowflake, dbt, Matillion DPC, and Streamlit • Balance platform evolution and business support, transitioning teams toward a modern platform operating model with medallion and mesh architectures while supporting critical organization-wide data initiatives • Embed AI into data and analytics by designing pipelines, analytics models, and Retrieval-Augmented Generation systems to transition central data and federated BI teams into AI-ready units • Enable self-service and mesh architecture to empower decentralized business functions to independently build custom data models across foundational analytics layers • Implement robust platform governance, observability, and cost attribution frameworks while executing hands-on technical troubleshooting, prototyping advanced workflows, and developing AI/LLM-powered AIOps systems for operational efficiency

🎯 Requirements

• Demonstrated experience driving technical strategies to transition data structures into AI-ready units, alongside hands-on knowledge of building Retrieval-Augmented Generation (RAG) and Graph RAG architectures • Five or more 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, including analytics engineering, modeling standards, and testing • 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, preferably Matillion Data Productivity Cloud or similar • Solid software engineering foundations in Python and SQL, including CI/CD, Git, and automated testing

🏖️ Benefits

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