# Senior Data Engineer

**Company**: Cisco
**Location**: San Jose, California
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Salary**: $186,900.00 to $267,700.00
**Category**: Engineering
**Industry**: Technology

**Apply**: https://cisco.wd5.myworkdayjobs.com/en-US/Cisco_Careers/job/San-Jose-California-US/Data-Engineering-Technical-Leader---CX-AI_2030081?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_8957d429-fae

## Description

You will be the architectural and technical authority driving our next-generation cloud-native data platform. Operating as a hands-on builder and leader, you will own distributed data pipelines, lakehouse architectures, and backend services end-to-end,powering real-time CX analytics and AI-ready data foundations.

**Key Responsibilities**

- Data Platform Architecture: Architect, build, and optimize scalable cloud-native backend services and data platforms supporting high-throughput ingestion, real-time analytics, and downstream AI/ML consumption.

- Pipeline & Lakehouse Engineering: Design robust batch and streaming ETL/ELT pipelines, implementing event-driven data flows, Change Data Capture (CDC), and modern lakehouse architectures (e.g., Snowflake, Databricks).

- Data Quality & Observability: Establish enterprise-grade standards for data modeling, semantic layers, schema governance, distributed tracing, and real-time telemetry/alerting to ensure high data integrity and reliability.

- API & Service Integration: Define high-performance API contracts (REST, GraphQL) and backend microservices that expose trusted datasets and metrics for self-service reporting and AI applications.

- Technical Leadership & Governance: Drive CI/CD automation, conduct code and design reviews, mentor senior and mid-level data engineers, and coordinate cross-team technical dependencies across platform, security, and product stakeholders.

**Minimum Qualifications**

- Bachelor’s degree with 8+ years of related experience, or a Masters degree with 6+ years of related experience.

- Experience in Python and SQL for data engineering, automation, and transformation, along with backend development experience in languages such as Go, Java, Node.js, or Rust.

- Experience designing REST or GraphQL APIs, with experience in relational PostgreSQL, MySQL and/or NoSQL databases.

- Experience implementing distributed messaging and streaming systems using Apache Kafka, AWS SQS/SNS, or comparable technologies.

- Experience building and optimizing data platforms using modern lakehouse/warehouse technologies such as Snowflake, Databricks, BigQuery, or AWS Redshift or similar.

- Experience building, maintaining, and troubleshooting automated CI/CD pipelines using Jenkins, GitHub Actions or similar and containerized deployments.

**Preferred Qualifications**

- Expertise in large-scale data ingestion architectures, Change Data Capture (CDC), and multi-source ETL/ELT across APIs, databases, event streams, and object storage (S3/GCS).

- Experience structuring semantic models and feature stores to support data science, predictive modeling, and generative AI/LLM applications.

- Experience implementing end-to-end data observability, lineage tracking, and monitoring frameworks (e.g., OpenTelemetry, Datadog, Prometheus).

- Familiarity leveraging AI-assisted development tools (Copilot, Cursor) and AIOps practices to accelerate development velocity and reliability.

- Demonstrated track record of technical mentorship, driving architectural consensus across matrixed teams, and translating business goals into robust engineering roadmaps.

**Benefits**

- Medical, dental and vision insurance

- 401(k) plan with a Cisco matching contribution

- Paid parental leave

- Short and long-term disability coverage

- Basic life insurance

- Paid time away (vacation, holidays, sick time)

## Skills

### Required
- Python
- SQL
- Go
- Java
- Node.js
- Rust
- REST
- GraphQL
- PostgreSQL
- MySQL
- Apache Kafka
- AWS SQS/SNS
- Snowflake
- Databricks
- BigQuery
- AWS Redshift
- Jenkins
- GitHub Actions

### Nice to have
- large-scale data ingestion architectures
- Change Data Capture (CDC)
- multi-source ETL/ELT
- semantic models
- feature stores
- data science
- predictive modeling
- generative AI/LLM applications
- end-to-end data observability
- lineage tracking
- monitoring frameworks
- AI-assisted development tools
- AIOps practices

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Source: [Apply at cisco.wd5.myworkdayjobs.com](https://cisco.wd5.myworkdayjobs.com/en-US/Cisco_Careers/job/San-Jose-California-US/Data-Engineering-Technical-Leader---CX-AI_2030081?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)