AI-Driven Data Engineering Manager

Accenture PLC; Carmel (IN); On-site; USD 120,000 - 200,000; Full time

Job summary

Accenture is seeking a data engineer to lead data-engineering work on a modernization engagement, building batch and streaming pipelines and productizing data for AI consumption. You will establish data-plane governance—catalog, quality, lineage, observability—on which downstream trust is built.

The role requires 5+ years in data engineering and agile teams, 5+ years with Python/SQL at production scale, and experience with streaming tools like Kafka or Airflow. Travel up to 100% may be needed.

Qualifications

• 5+ years hands-on data engineering or data platform engineering with 1–2 years AI/LLM data work.
• 5+ years in agile engineering or consulting teams.
• 5+ years with Python and SQL at production scale, plus a cloud data platform.
• 5+ years with streaming technologies and orchestration tools (Kafka, Airflow, etc.).
• 1+ year designing for AI workloads and classical analytics on the same foundation.
• AI-adjacent experience counts toward the bars above: 1–2 years of hands-on LLM work.
• Bachelor's degree or equivalent work experience (12 years). If Associate's Degree, must have minimum 6 years work experience.

Responsibilities

• Lead the data-engineering work on a modernization engagement: batch and streaming pipelines.
• Productize data for AI consumption and governance: catalog, quality, lineage, observability.
• Travel may be required; travel amount 0–100% depending on client needs.

Skills

Python

SQL

Data engineering

Agile methodologies

Education

Bachelor's degree or equivalent (12 years)

Associate's degree with 6 years experience

Tools

Kafka

Airflow

Cloud data platform

Job description

Accenture is seeking a data engineer to lead data-engineering work on a modernization engagement, building batch and streaming pipelines and productizing data for AI consumption. You will establish data-plane governance—catalog, quality, lineage, observability—on which downstream trust is built.

The role requires 5+ years in data engineering and agile teams, 5+ years with Python/SQL at production scale, and experience with streaming tools like Kafka or Airflow. Travel up to 100% may be needed.