AI-Focused Data Engineering Lead for Modernization

Accenture PLC; Miami (FL); On-site; USD 94,000 - 294,000; Full time

Job summary

Accenture is seeking a Senior Data Engineer to lead data-engineering on a modernization engagement, delivering batch and streaming pipelines, AI-ready data products, and governance (catalog, quality, lineage, observability) that enable trusted AI usage.

The role requires 5+ years in data engineering, strong Python/SQL production experience, and hands-on work with AI/LLM data. Travel up to 100% may be required depending on client needs.

Qualifications

• 5+ years hands-on data engineering with AI/LLM data work.
• 5+ years in agile engineering or consulting teams.
• 5+ years with Python and SQL at production scale, plus at least one cloud data platform.
• 5+ years with streaming technologies and orchestration tooling (Kafka, Airflow, or equivalent).
• 1+ year designing for AI workloads and classical analytics on the same foundation.
• AI-adjacent experience counts toward the bars above: strong credentials plus 1–2 years of LLM work.
• Bachelor's degree or equivalent (minimum 12 years) work experience.

Responsibilities

• Lead the data-engineering work on a modernization engagement: batch and streaming pipelines, productized data ready for AI consumption, and the data-plane governance — catalog, quality, lineage, observability — that downstream trust stands on.
• Travel may be required; amount of travel varies by client and business needs.

Skills

Python

SQL

Data engineering

Agile engineering

AI/LLM data work

Streaming technologies

Kafka

Airflow

Education

Bachelor's degree or equivalent experience

Tools

Kafka

Airflow

Job description

Accenture is seeking a Senior Data Engineer to lead data-engineering on a modernization engagement, delivering batch and streaming pipelines, AI-ready data products, and governance (catalog, quality, lineage, observability) that enable trusted AI usage.

The role requires 5+ years in data engineering, strong Python/SQL production experience, and hands-on work with AI/LLM data. Travel up to 100% may be required depending on client needs.