Data Engineering Manager – AI & Data Modernization

Accenture•St. Louis, MO

3d•$80,400 - $293,800

About The Position

Lead the data-engineering work on a modernization engagement, building batch and streaming pipelines, productized data ready for AI consumption, and data-plane governance—including catalog, quality, lineage, and observability—to support trusted downstream use. The role is part of Accenture’s Digital Core Reinvention practice, which builds resilient data foundations for AI at scale. Travel may be required, varying from 0% to 100% depending on business need and client requirements.

Requirements

At least 5 years of hands-on data engineering or data platform engineering, including 1–2 years specifically working with AI/LLM-related data.
At least 5 years working in agile engineering or consulting teams.
At least 5 years using Python and SQL at production scale, plus experience with at least one cloud data platform.
At least 5 years with streaming technologies and orchestration tools such as Kafka, Airflow, or equivalent.
At least 1 year designing for both AI workloads and classical analytics on the same foundation.
Bachelor’s degree or equivalent (minimum 12 years) of work experience; candidates with an associate’s degree must have at least 6 years of work experience.

Nice To Haves

Depth with lakehouse/open-table formats such as Delta or Iceberg.
Data-mesh experience in decentralized organizations.
Experience with vector and graph stores alongside relational data systems.

Responsibilities

Lead data-engineering work on a modernization engagement.
Build batch and streaming pipelines.
Develop productized data for AI consumption.
Deliver data-plane governance, including catalog, quality, lineage, and observability.