Lead Data Engineer, AI & Modernization

Accenture PLC; Redmond; On-site; AUD 135,000 - 421,000; Full time

Benefits offered by this job

Medical benefits

Dental benefits

Vision benefits

401(k) plan

Paid holidays

Job summary

Accenture PLC is seeking a seasoned data engineer to lead migrations, build data pipelines feeding AI systems, and develop data products. You will apply evidence-extraction techniques, including dependency analysis and git-history mining, to ensure reliable mappings before deployment.

Minimum 5 years in data engineering, plus 1–2 years in AI/LLM work and 4+ years in agile teams. Strong Python/SQL skills and experience with cloud data platforms are essential. Some travel may be required.

Qualifications

• Minimum 5 years hands-on data engineering or data platform engineering.
• 1–2 years specifically on AI/LLM-related data work.
• 4+ years in agile engineering or consulting teams.
• 3+ years with Python and SQL at production scale.
• Knowledge of data lineage and observability to detect drift.
• At least 1 year designing data supply for AI systems.

Responsibilities

• Lead data-engineering work on a migration engagement.
• Build pipelines and data products feeding AI systems.
• Apply evidence-extraction techniques like git-history mining.
• Perform dependency analysis on the source estate.
• Travel may be required depending on business needs.

Skills

Data engineering

AI/LLM data work

Agile teams

Python

SQL

Data lineage

Data observability

Data products

Education

Bachelor's degree

Tools

Git

Cloud data platforms

Job description

About Accenture:

Accenture helps the world's leading enterprises reinvent by building their digital core and unleashing the power of AI to create value at speed for organizations across industries. Our strategy is to be the reinvention partner of choice for our clients and lead in the safe, widespread adoption of AI, and to be the most client-focused, AI-enabled, great place to work in the world. We bring together the talent of our approximately 814,000 people with proprietary assets and platforms, deep process and industry expertise, and leading ecosystem relationships to deliver end-to-end solutions and measurable outcomes at scale. Through our Reinvention Services, we offer broad expertise across Cybersecurity, Digital Core, Finance, Industry and Enterprise, Song, Supply Chain and Engineering, and Talent, with advanced capabilities in AI and Data, Industry and Process, and Technology. We serve approximately 9,000 clients and generated approximately $74 billion in FY26 revenue. Visit us at accenture.com.

We Are:

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.

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.

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 (https://www.accenture.com/us-en/careers/local/benefits)

Role Location Annual Salary RangeCalifornia $94,400 to $293,800Colorado $94,400 to $253,800Connecticut $94,400 to $253,800District of Columbia $100,500 to $270,300Illinois $87,400 to $253,800Maine $80,400 to $216,200Maryland $94,400 to $253,800Massachusetts $94,400 to $270,300Minnesota $94,400 to $253,800New York $87,400 to $293,800New Jersey $100,500 to $293,800Ohio $87,400 to $235,000Virginia $87,400 to $270,300Washington $100,500 to $270,300

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