Lead AI Data Engineer - Data Pipelines & Modernization

Accenture PLC; Chicago (IL); On-site; USD 87,000 - 254,000; Full time

Job summary

Accenture PLC in the United States is seeking a senior data engineer to lead data‑engineering work on a migration engagement, building pipelines and data products for AI systems, including evidence‑extraction techniques and git-history analysis.

This role requires 5+ years in data engineering, 1–2 years AI/LLM data work, 3+ years Python/SQL at production scale, and a Bachelor's degree or equivalent; travel up to 100% may be required.

Qualifications

• 5+ years hands-on data engineering or data platform engineering, with 1–2 years specifically on AI/LLM data work.
• 4+ years experience in agile engineering or consulting teams.
• 3+ years with Python and SQL at production scale, plus at least one cloud data platform.
• Fluency with data lineage and data observability — catching drift before AI drift surfaces.
• 1 year designing data supply for AI systems — vector stores, embedding pipelines, or agent-facing data products.
• AI-adjacent experience counts toward the bars above: 1–2 years of hands-on LLM work is valued.

Responsibilities

• Lead the data-engineering work on a migration engagement, building pipelines and data products feeding AI systems.
• Apply evidence-extraction techniques like dependency analysis and git-history mining to the source estate before mapping.
• Travel may be required; travel amount ranges from 0 to 100% depending on client needs.

Skills

Data engineering

Python

SQL

Agile

AI/LLM experience

Data lineage

Cloud data platforms

Education

Bachelor's degree or higher

Tools

Kafka

Flink

Git history mining

Job description

Accenture PLC in the United States is seeking a senior data engineer to lead data‑engineering work on a migration engagement, building pipelines and data products for AI systems, including evidence‑extraction techniques and git-history analysis.

This role requires 5+ years in data engineering, 1–2 years AI/LLM data work, 3+ years Python/SQL at production scale, and a Bachelor's degree or equivalent; travel up to 100% may be required.