Lead Data Reliability Engineer

Meet the Team

The Customer Asset Data Foundation team with Cisco’s Data and Analytics organization, owns the data infrastructure and analytical frameworks that power Cisco’s customer assets which includes install base, service agreement and contracts/subscriptions. Our Data, insights and analytics powers cisco’s renewals, sales and finance organization. We are AI Native team.

We operate as a lean, high-ownership team where engineers are expected to build, maintain, and continuously improve the foundations that everyone else depends on. Our work is visible at the VP and SVP level, and our architectural decisions have organization-wide impact. We are actively building toward an AI-augmented data platform and have a robust bias toward engineers who want to be part of that trajectory.

Your Impact

As a Data Reliability Engineer on the Customer Asset data team, you will Design, Develop and Support complex Data pipelines which is AI Native. You will work at the intersection of data architecture, pipeline engineering,



and AI-augmented analytics—building systems that are clean, testable, and built to scale. This role requires independent ownership, strong technical judgment, and a forward-looking mindset toward AI tooling.
- Own the end-to-end design and implementation of dbt models, including the simplified 6-object architecture, parametric control layer, and plug-and-play organizational hierarchy configurations.
- Optimize existing data pipelines to improve performances keeping optimal credit utilization without impacting SLA.
- Write production-grade SQL and Python scripts for data transformation, pipeline automation, and integration with upstream and downstream.
- Instrument data pipelines with robust quality frameworks—including dbt tests, row count validation, null assertions, and referential integrity checks—to ensure metric reliability for executive reporting.
- Contribute to AI integration workstreams, including building data tabl

📌 Data Engineering Lead (Bengaluru)
🏢 Cisco Systems
📍 Bengaluru