Data Engineering Manager for AI & Modernization

Accenture PLC; Austin (TX); On-site; USD 94,000 - 294,000; Full time

Job summary

Accenture PLC seeks a data engineer to lead modernization efforts, building batch and streaming pipelines and productizing data for AI consumption. You will implement governance for data catalogs, quality, lineage, and observability to earn downstream trust.

The role requires 5+ years in data engineering or data platform work, 1–2 years in AI/LLM data work, and strong Python/SQL skills in production environments. Willingness to travel 0–100% is expected.

Qualifications

• 5+ years hands-on data engineering or data platform experience.
• 1–2 years AI/LLM data work experience.
• 5+ years Python and SQL at production scale.
• 5+ years agile engineering or consulting experience.
• Bachelor's degree or equivalent (minimum 12 years) work experience.

Responsibilities

• Lead the data-engineering work on a modernization engagement: batch and streaming pipelines, data ready for AI consumption, and data-plane governance (catalog, quality, lineage, observability).
• Travel may be required; travel amount ranges from 0 to 100% depending on business need and client requirements.

Skills

Python

SQL

Data engineering

AI/LLM data work

Agile engineering

Education

Bachelor's degree or equivalent

Tools

Kafka

Airflow

Job description

Accenture PLC seeks a data engineer to lead modernization efforts, building batch and streaming pipelines and productizing data for AI consumption. You will implement governance for data catalogs, quality, lineage, and observability to earn downstream trust.

The role requires 5+ years in data engineering or data platform work, 1–2 years in AI/LLM data work, and strong Python/SQL skills in production environments. Willingness to travel 0–100% is expected.