AI & Modernization Data Engineer Lead

Accenture PLC; Miami (FL); On-site; USD 110,000 - 180,000; Full time

Job summary

Accenture PLC is seeking a data engineer to lead migration-focused data engineering work, building pipelines and AI-ready data products. You will apply evidence-extraction techniques, including dependency analysis and git-history mining, to ensure mappings are trusted before deployment.

The role may require travel (0-100%) depending on client needs, and you’ll collaborate with agile engineering teams across domains to deliver scalable data solutions for AI systems.

Qualifications

• 5+ years hands-on data engineering with 1-2 years AI/LLM data work.
• 4 years in agile engineering or consulting teams.
• 3+ years Python and SQL at production scale, plus a cloud data platform.
• Fluency in data lineage and observability, catching drift before AI drift surfaces.
• 1+ year designing data supply for AI systems—vector stores, embeddings, or agent-facing data products.
• AI-adjacent experience counts toward the bars above with 1-2 years of hands-on LLM work.
• Bachelor's degree or equivalent (minimum 12 years) work experience.

Responsibilities

• Lead data-engineering work on a migration engagement: pipelines and data products feeding AI systems.
• Apply evidence-extraction techniques—dependency analysis, git-history mining—before mappings are trusted.
• Travel may be required (0–100%) depending on business need and client requirements.

Skills

Data engineering

Python

SQL

AI/LLM data work

Data lineage

Data observability

Cloud data platform

Agile teams

Education

Bachelor's degree or equivalent

Tools

Vector stores

Embedding pipelines

Agent-facing data products

Job description

Accenture PLC is seeking a data engineer to lead migration-focused data engineering work, building pipelines and AI-ready data products. You will apply evidence-extraction techniques, including dependency analysis and git-history mining, to ensure mappings are trusted before deployment.

The role may require travel (0-100%) depending on client needs, and you’ll collaborate with agile engineering teams across domains to deliver scalable data solutions for AI systems.