Zscaler
Zscaler

Senior Manager, Data Engineering

engineeringfull-timeRemote - USA
SALARY
Not listed
WORK TYPE
remote
JOB TYPE
full-time
INDUSTRY
general
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About the role

Role

We are looking for a Senior Manager, Enterprise Data Platform to join our team. This is a remote (within the US) role, reporting to the Senior Director, Enterprise Data Platform in the IT Data Strategy department. In this role, you will be a key technical and strategic leader responsible for driving the architecture, strategy, and continuous evolution of our modern enterprise data platform.

You will lead the central data team, balancing its evolution into a highly effective, self-service platform team while actively supporting critical, high-impact, organization-wide data initiatives. A core focus of this role is preparing both the central data team and federated business intelligence units (such as Sales, Marketing, and other internal business functions) to become AI-ready, implementing strategies to embed AI directly into daily data analytics. This is a critical leadership position requiring a passionate innovator who is equally comfortable defining high-level strategy, establishing platform governance, and rolling up their sleeves to tackle complex, hands-on technical challenges.

What you’ll do (Role Expectations)

  • 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

Who You Are (Success Profile)

  • Act as an owner with a strong bias for action, navigating seamlessly between defining
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