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# Lead Data Engineer, AI & Modernization

- **Company:** Accenture
- **Location:** Atlanta, GA, United States
- **Experience:** Expert
- **Salary:** $94,400.0 - $293,800.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Architecture, Information Engineering, Data Infrastructure, Python (Programming Language), OpenAI, DataOps, Scaled Agile Framework, SQL Databases, Data Streaming, Cloud Platform System, Large Language Models, Generative AI, Agentic-AI, Git, Data Lineage, Apache Flink, Apache Kafka, Data Pipelines
- **Published:** October 29, 2026
- **Apply:** https://www.atlantacareerpath.com/job.asp?id=3479330567&tx=FR6764FFI&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* Minimum of 5 years of hands-on data engineering or data platform engineering, with at least 1-2 years specifically on AI/LLM-related data work.
 * Minimum of 4 years of experience working 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 combined 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)., * Streaming and CDC experience (Kafka, Flink, or equivalent)
 * Code-analysis or archaeology tooling exposure - you'll work beside our excavation teams.
 * Agentic data architecture: designing how data is supplied to multiple cooperating agents.

## Description

Accenture is recognized as a global leader in AI and cloud transformation, helping businesses across industries reimagine the digital core for an AI-native operating model. Through partnerships with frontier AI labs such as Anthropic and OpenAI, and the leading cloud providers, Accenture delivers end-to-end services that drive innovation and business agility.

The Digital Core Reinvention practice builds the data foundations AI systems depend on - with a discovery edge. This seat anchors our archaeology techniques inside the data family: the foundation gets engineered from what is actually in the estate, not what the documentation claims.

You Are

A data engineer who doesn't trust the documentation either - you'd rather mine the git history and trace the lineage than take a schema diagram at its word.

You belong here even if you haven't spent years in AI. Much of what makes a great practitioner in this work was learned somewhere adjacent - strong credentials in the neighboring discipline plus a year or two of serious hands-on work with LLM-based systems is exactly the profile we grow.

The Work

You lead the data-engineering work on a migration engagement: pipelines and data products feeding AI systems (Data Pipelines and Data Products), 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.