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Data Engineering Manager – AI & Data Modernization

Posted today

accentureAustin (TX)

SENIORITY

Manager

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About the role

Overview: As a Data Engineer in Accenture's Digital Core Reinvention practice, you build and govern data foundations to power AI at scale. You lead data-engineering efforts on modernization engagements, delivering batch and streaming pipelines and AI-ready data products. You establish data-plane governance—catalog, quality, lineage, observability—to enable trusted AI workloads. The role blends strong data engineering with AI/LLM-related work in a fast-paced, client-facing environment. Compensation / Benefits medical insurance dental vision life insurance 401(k) plan paid holidays and time off
Responsibilities: Lead data-engineering work on modernization engagements Build batch and streaming data pipelines for AI consumption Productize data assets for AI readiness Implement data-plane governance (catalog, quality, lineage, observability) Collaborate in agile teams; travel may be required
Key requirements: 5+ years hands-on data engineering or data platform engineering experience 1–2 years AI/LLM-related data work 5+ years Python and SQL at production scale 5+ years experience with a cloud data platform 5+ years streaming technologies and orchestration tooling (Kafka, Airflow) Bachelor's degree or equivalent work experience collaboration in cross-functional teams agile/consulting experience customer-centric communication Python SQL cloud data platform

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