Data Engineering Manager – AI & Data Modernization
$94k - $294k • Remote • Chicago, Accenture Tower, Corp
Posted 21h ago
About the job
Accenture is seeking a Data Engineering Manager to lead modernization engagements focused on AI and Data. This role involves building resilient, trusted data foundations for AI at scale, including batch and streaming pipelines, productized data for AI consumption, and data-plane governance. The ideal candidate will have a strong background in data engineering with experience in AI/LLM-related data work, and a passion for building fast, governed data systems. While extensive AI experience is not required, a solid foundation in a related discipline combined with hands-on work with LLM-based systems is highly valued.
Responsibilities
- Lead data engineering work on modernization engagements.
- Develop batch and streaming data pipelines.
- Prepare productized data for AI consumption.
- Implement data-plane governance, including catalog, quality, lineage, and observability.
- Design data foundations for both AI workloads and classical analytics.
Requirements
- Minimum 5 years of hands-on data engineering or data platform engineering.
- Minimum 1-2 years specifically on AI/LLM-related data work.
- Minimum 5 years of experience working in agile engineering or consulting teams.
- Minimum 5 years with Python and SQL at production scale.
- Experience with at least one cloud data platform.
- Minimum 5 years with streaming technologies and orchestration tooling (e.g., Kafka, Airflow).
- Minimum 1 year designing for both AI workloads and classical analytics on the same foundation.
- Bachelor's degree or equivalent work experience (minimum 12 years).
- AI-adjacent experience counts, such as strong credentials in a neighboring discipline combined with 1-2 years of hands-on LLM work.
Benefits
- Medical, dental, vision, life, and long-term disability coverage.
- 401(k) plan.
- Bonus opportunities.
- Paid holidays.
- Paid time off.