Senior Manager, Data Engineering

Zscaler is an AI-forward enterprise focused on digital transformation and cybersecurity. They are seeking a Senior Manager for the Enterprise Data Platform, responsible for driving architecture and strategy while leading the central data team to support high-impact data initiatives.

Responsibilities:

• 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
• Extreme technical depth with the ability to dive into codebases, write complex models, and lead highly technical data implementations
• Experience leveraging advanced Snowflake AI capabilities such as Cortex or Snowpark, and building custom data applications using Streamlit