Data Engineer
Core
Architect and build scalable, AI-ready data foundations and agentic solutions to drive enterprise-level automated actions and business decisions.
Role type
Senior IC Data Engineer (AI/Agentic Solutions)
Builds
End-to-end ELT/ETL pipelines, reusable semantic layers, and advanced data consumption layers (dashboards, conversational analytics, agentic solutions) for AI and enterprise applications.
Domain
Enterprise Commerce, Cloud Data Warehousing, AI/LLM Integration (via careerplan.io/jobs/2021621-data-engineer-at-cisco)
Required skills
Cloud data warehousing architecture, ELT/ETL pipeline development, dbt, Snowflake Data Cloud, SQL, Python, Data visualization (BI tools), Data governance and quality frameworks
Preferred skills
Data mesh/fabric principles, Snowpark, Zero-copy cloning, Secure data sharing, MCP gateways, Technical mentorship
Technologies
Snowflake, dbt, AWS, GCP, Power BI, Sigma, Tableau, ThoughtSpot
Responsibilities
Architect scalable ELT/ETL pipelines for Snowflake; Design and maintain reusable semantic layers for AI and dashboard consumption; Lead exploratory data analysis to inform architectural decisions; Integrate AI/LLM capabilities (Snowflake Cortex) into data pipelines; Establish data quality, observability, and lineage standards; Mentor junior engineers and champion best practices.
Seniority
Senior, hands-on IC with mentorship responsibilities