AI-Driven Data Engineering Manager

Accenture PLC; Houston (TX); On-site; USD 100,000 - 230,000; Full time

Benefits offered by this job

Medical, dental, vision

Life insurance

401(k) plan

Bonus opportunities

Paid holidays

Paid time off

Job summary

Accenture is seeking a data engineer to lead the data-engineering work on a modernization engagement, building batch and streaming pipelines and delivering data products ready for AI consumption.

You will own data governance—catalog, quality, lineage, observability—to ensure downstream trust, with travel requirements ranging from 0 to 100% depending on client needs.

Excellent collaboration in agile teams and strong Python/SQL production experience are essential for success in this role.

Qualifications

• 5+ years hands-on data engineering with 1–2 years in AI/LLM data work.
• 5 years in agile engineering or consulting teams.
• 5+ years Python and SQL at production scale; at least one cloud data platform.
• 5+ years streaming technologies and orchestration tools (Kafka, Airflow, etc.).
• 1+ year designing for both AI workloads and traditional analytics on the same foundation.
• AI-adjacent experience with 1–2 years of hands-on LLM work.
• Bachelor's degree or 12 years of equivalent work experience.

Responsibilities

• Lead data-engineering on a modernization engagement including batch and streaming pipelines.
• Productize data for AI consumption and manage data-plane governance (catalog, quality, lineage, observability).
• Ensure data trust and readiness for downstream AI workloads.
• Travel may be required (0–100%) depending on client needs.

Skills

Python

SQL

Kafka

Airflow

Data governance

Cloud data platform

AI data work

Agile engineering

Education

Bachelor's degree

Tools

Airflow

Kafka

Job description

Accenture is seeking a data engineer to lead the data-engineering work on a modernization engagement, building batch and streaming pipelines and delivering data products ready for AI consumption.

You will own data governance—catalog, quality, lineage, observability—to ensure downstream trust, with travel requirements ranging from 0 to 100% depending on client needs.

Excellent collaboration in agile teams and strong Python/SQL production experience are essential for success in this role.