Senior Snowflake AI Data Engineer — Agentic AI & RAG

Accenture PLC; Irving (TX); Hybrid; USD 120,000 - 210,000; Full time

Job summary

Accenture seeks a Snowflake Data & Analytics Engineer to design, build, and operationalize enterprise-grade data and agentic AI solutions on the Snowflake AI Data Cloud. You’ll own the full lifecycle from architecture and ingestion through production deployment, governance, and continuous improvement.

You thrive on solving hard data problems in fast-paced environments, collaborating with cross-functional teams across data engineering, analytics, and Cortex AI workflows.

Qualifications

• 3+ years data engineering with agentic AI or LLM apps
• 3+ years Snowflake features: Snowpark, Dynamic Tables, Streams, Tasks, Snowpipe, Cortex
• 3+ years Python and SQL
• Bachelor's degree or equivalent (12 years)
• Preferred: cloud platform experience, governance, and data modelling knowledge

Responsibilities

• Architect and maintain Snowflake AI Data Cloud environment with cost management.
• Design ELT/ETL using Snowflake SQL, Snowpark Python, Snowpipe.
• Build AI-ready data products with data quality SLAs and lineage.
• Implement enterprise security: RBAC/ABAC, data masking, audit logging.
• Integrate Snowflake with upstream sources and orchestration tools.
• Develop agentic AI workflows using Cortex components.
• Build RAG pipelines with vector search and semantic retrieval.
• Apply MCP connectors and REST APIs for data integration.
• Define data modelling standards (Kimball, Data Vault 2.0).
• Collaborate with Cortex Analyst and BI tools for governance.

Skills

Python programming

SQL proficiency

Data engineering

LLMOps / prompt engineering

Agentic AI / RAG pipelines

Education

Bachelor's degree or equivalent

Tools

Snowflake

Snowpark Python

dbt

Apache Airflow

Cortex AI

Kinesis / Kafka

Job description

Accenture seeks a Snowflake Data & Analytics Engineer to design, build, and operationalize enterprise-grade data and agentic AI solutions on the Snowflake AI Data Cloud. You’ll own the full lifecycle from architecture and ingestion through production deployment, governance, and continuous improvement.

You thrive on solving hard data problems in fast-paced environments, collaborating with cross-functional teams across data engineering, analytics, and Cortex AI workflows.