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.
Here's what you need:- 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).
Bonus Points if You Have:
- 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.
Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below.
We anticipate this job posting will be posted until 12/04/2026.
Accenture offers a market competitive suite of benefits including medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off. See more information on our benefits here:
U.S. Employee Benefits | Accenture
Role Location Annual Salary Range
California $94,400 to $293,800
Colorado $94,400 to $253,800
Connecticut $94,400 to $253,800
District of Columbia $100,500 to $270,300
Illinois $87,400 to $253,800
Maine $80,400 to $216,200
Maryland $94,400 to $253,800
Massachusetts $94,400 to $270,300
Minnesota $94,400 to $253,800
New York $87,400 to $293,800
New Jersey $100,500 to $293,800
Ohio $87,400 to $235,000
Virginia $87,400 to $270,300
Washington $100,500 to $270,300
