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# Data Engineering Manager - AI & Data Modernization

- **Company:** Accenture
- **Location:** Cincinnati, OH, United States
- **Experience:** Starter
- **Salary:** $94,400.0 - $293,800.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Airflow, Information Engineering, Data Infrastructure, Data Transformation, Python (Programming Language), Scaled Agile Framework, SQL Databases, Cloud Platform System, Large Language Models, Apache Kafka, Video Streaming
- **Published:** October 29, 2026
- **Apply:** https://www.techcareers.com/job.asp?id=3479357678&tx=VT6762TYD&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* Minimum of 5 years of hands-on data engineering or data platform engineering, with at least 1-2 years specifically on AI/LLM-related data work.
 * Minimum of 5 years of experience working in agile engineering or consulting teams.
 * Minimum of 5 years with Python and SQL at production scale, plus at least one cloud data platform.
 * Minimum of 5 years with streaming technologies and orchestration tooling (Kafka, Airflow, or equivalent).
 * Minimum of 1 year designing for both AI workloads and classical analytics on the same foundation.
 * AI-adjacent experience counts toward the bars above: strong credentials in the neighboring discipline combined with 1-2 years of hands-on LLM work is exactly the profile we grow.
 * Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate's Degree, must have minimum 6 years work experience)., * Data-mesh experience in decentralized organizations.
 * Vector and graph stores alongside the relational stack.