Data Engineering Manager – AI & Data Modernization

Accenture; Redmond; On-site; AUD 135,000 - 419,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

Life insurance

Long-term disability

401(k) plan

Bonus opportunities

Paid holidays

Paid time off

Job summary

Accenture is seeking a data engineer to lead data-engineering efforts on a modernization engagement, delivering batch and streaming pipelines and productized data for AI consumption. You will own data-plane governance—catalog, quality, lineage, observability—to ensure trust and reliability for AI workloads.

The role requires deep experience in Python, SQL, cloud data platforms, and streaming technologies, plus 1 year designing for AI and analytics on a shared foundation. Travel may be required.

Qualifications

• Minimum 5 years hands-on data engineering, 1–2 years AI/LLM data work
• Minimum 5 years in agile engineering or consulting teams
• Minimum 5 years with Python and SQL at production scale
• Minimum 5 years with streaming technologies and orchestration (Kafka, Airflow)
• Minimum 1 year designing for AI workloads and analytics on the same foundation
• AI-adjacent experience counts toward the bars above
• Bachelor's degree or equivalent (minimum 12 years) work experience

Responsibilities

• Lead the data-engineering work on a modernization engagement: batch and streaming pipelines, productized data ready for AI consumption, and data-plane governance — catalog, quality, lineage, observability

Skills

Data engineering

Python

SQL

Cloud data platform

Kafka

Airflow

Agile teams

Education

Bachelor's degree or equivalent

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 thinks 'governed' and 'fast' are the same requirement stated twice.

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 modernization engagement: batch and streaming pipelines, productized data ready for AI consumption, and the data-plane governance — catalog, quality, lineage, observability — that downstream trust stands on

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 5 years of experience working in agile engineering or consulting teams.

• Minimum of 5 years with Python and SQL at production scale, plus at least one cloud data platform.

• Minimum of 5 years with streaming technologies and orchestration tooling (Kafka, Airflow, or equivalent).

• Minimum of 1 year designing for both AI workloads and classical analytics on the same foundation.

• 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:

• Lakehouse/open-table-format depth (Delta, Iceberg).

• Data‑mesh experience in decentralized organizations.

• Vector and graph stores alongside the relational stack.

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

Requesting an Accommodation

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Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.

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