Lead Data Engineer, AI & Modernization

Accenture PLC; Hartford (CT); Presencial; USD 94.000 - 254.000; Jornada completa

Descripción de la vacante

Accenture is seeking a data engineer to lead data-engineering work on a migration engagement. You will build pipelines and data products feeding AI systems, applying evidence-extraction techniques like dependency analysis and git-history mining to ensure data integrity before mapping.

You will work in an Agile environment, collaborating with consultants and engineers across cloud data platforms and AI initiatives. Travel may range from 0 to 100% based on client needs.

Formación

• Minimum of 5 years hands-on data engineering with 1–2 years AI/LLM data work.
• Minimum of 4 years in Agile engineering or consulting teams.
• Minimum of 3 years with Python and SQL at production scale, plus at least one cloud data platform.
• Working fluency with data lineage and data observability - catching drift as data drift before it surfaces as AI drift.
• Minimum of 1 year designing data supply for AI systems - vector stores, embedding pipelines, or agent-facing data products.
• AI-adjacent experience counts toward the bars above: strong credentials in the neighboring discipline with 1–2 years of hands-on LLM work is exactly the profile we grow.
• Bachelor's degree or equivalent (minimum 12 years) work experience. (If Associate's Degree, must have minimum 6 years work experience).

Responsabilidades

• Lead the data-engineering work on a migration engagement: pipelines and data products feeding AI systems, with evidence-extraction techniques - dependency analysis, git-history mining - applied to the source estate before a single mapping is trusted.
• Travel may be required for this role. The amount of travel will vary from 0 to 100% depending on business need and client requirements.

Conocimientos

Data engineering

Python

SQL

Agile teamwork

Data lineage

Data observability

LLM data work

Travel readiness

Educación

Bachelor's degree or equivalent (12 years)

Herramientas

Git history mining

Vector stores

Embedding pipelines

AI data pipelines

Descripción del empleo

Accenture is seeking a data engineer to lead data-engineering work on a migration engagement. You will build pipelines and data products feeding AI systems, applying evidence-extraction techniques like dependency analysis and git-history mining to ensure data integrity before mapping.

You will work in an Agile environment, collaborating with consultants and engineers across cloud data platforms and AI initiatives. Travel may range from 0 to 100% based on client needs.