AI/LLM Data Engineering Manager

Accenture PLC; Redmond; On-site; AUD 135,000 - 419,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Life insurance

Long-term disability

401(k) plan

Bonus opportunities

Paid holidays

Paid time off

Job summary

Accenture is seeking a data engineer to lead data-engineering efforts on a modernization engagement, delivering batch and streaming pipelines and productized data for AI consumption. You will own data-plane governance—catalog, quality, lineage, observability—to ensure trust and reliability for AI workloads.

The role requires deep experience in Python, SQL, cloud data platforms, and streaming technologies, plus 1 year designing for AI and analytics on a shared foundation. Travel may be required.

Qualifications

• Minimum 5 years hands-on data engineering, 1–2 years AI/LLM data work
• Minimum 5 years in agile engineering or consulting teams
• Minimum 5 years with Python and SQL at production scale
• Minimum 5 years with streaming technologies and orchestration (Kafka, Airflow)
• Minimum 1 year designing for AI workloads and analytics on the same foundation
• AI-adjacent experience counts toward the bars above
• 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 data-plane governance — catalog, quality, lineage, observability

Skills

Data engineering

Python

SQL

Cloud data platform

Kafka

Airflow

Agile teams

Education

Bachelor's degree or equivalent

Job description

Accenture is seeking a data engineer to lead data-engineering efforts on a modernization engagement, delivering batch and streaming pipelines and productized data for AI consumption. You will own data-plane governance—catalog, quality, lineage, observability—to ensure trust and reliability for AI workloads.

The role requires deep experience in Python, SQL, cloud data platforms, and streaming technologies, plus 1 year designing for AI and analytics on a shared foundation. Travel may be required.