Senior Data Platform Engineer - Scalable, Trusted Data

Cisco Systems, Inc; San Francisco (CA); On-site; USD 168,000 - 245,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Parental leave

Disability coverage

Life insurance

Paid holidays

Birthday day off

Volunteer days

Flexible vacation

Job summary

Cisco Systems, Inc. is seeking a Senior Data Engineer to design and manage reliable batch and streaming data pipelines at massive scale. You will define data quality, freshness, and observability while leading incident response and cost controls.

You will build a trusted data context layer with business definitions, ownership, and lineage, integrating with catalog and governance systems. Experience with AI-assisted data workflows is a plus.

Qualifications

• Bachelor’s degree or higher with related experience.
• 5+ years advanced SQL including data modeling and tuning.
• 5+ years Python building production data pipelines with tests.
• 3+ years Snowflake production workloads; Postgres a plus.
• Experience with distributed processing and orchestration (Spark, Airflow/Glue).

Responsibilities

• Set technical direction for scalable batch and streaming data pipelines.
• Define and improve data quality, freshness, availability, observability, and cost.
• Build a trusted data context layer covering definitions, lineage, ownership, and access.
• Apply AI tools to scoped data engineering tasks with governance and risk controls.

Skills

Advanced SQL

Python

Data pipelines

Observability

CI/CD

Cost management

Education

Bachelor's degree

Master's degree

PhD

Tools

Snowflake

PostgreSQL

Spark

Airflow

Glue

Job description

Cisco Systems, Inc. is seeking a Senior Data Engineer to design and manage reliable batch and streaming data pipelines at massive scale. You will define data quality, freshness, and observability while leading incident response and cost controls.

You will build a trusted data context layer with business definitions, ownership, and lineage, integrating with catalog and governance systems. Experience with AI-assisted data workflows is a plus.