Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

Tailor your resume to this Data Engineering Manager – AI & Data Modernization role.

Rezi rewrites your resume against Accenture's job description. Free.

Resume score gauge reading 58 out of 100

Don't guess if your resume is good enough.

See how it scores against the Data Engineering Manager – AI & Data Modernization posting at Accenture — free, in seconds.

About the Role

You will lead the data-engineering work on a modernization engagement, focusing on batch and streaming pipelines, productized data for AI consumption, and data-plane governance including catalog, quality, lineage, and observability to ensure downstream trust.

Responsibilities

Lead the data-engineering work on a modernization engagement.
Develop batch and streaming pipelines.
Prepare productized data for AI consumption.
Implement data-plane governance, including catalog, quality, lineage, and observability.

Requirements

Minimum of 5 years of hands-on data engineering or data platform engineering.
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.
Minimum of 5 years with 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: strong credentials in a neighboring discipline combined with 1–2 years of hands-on LLM work is acceptable.
Bachelor's degree or equivalent (minimum 12 years) work experience.
Associate's degree requires a minimum of 6 years work experience.

Skills

Python
SQL
Cloud data platforms
Streaming technologies
Orchestration tooling (Kafka, Airflow, or equivalent)
AI workloads
Classical analytics
LLM-based systems
Lakehouse/open-table formats (Delta, Iceberg)
Data-mesh
Vector stores
Graph stores
Relational stack

Location

California
Colorado
Connecticut
District of Columbia
Illinois
Maine
Maryland
Massachusetts
Minnesota
New York
New Jersey
Ohio
Virginia
Washington

Work Type

Travel may be required (0-100%)

Experience Level

Minimum of 5 years of hands-on data engineering or data platform engineering
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 1 year designing for both AI workloads and classical analytics

Education Level

Bachelor's degree or equivalent (minimum 12 years) work experience
Associate's Degree (minimum 6 years work experience)

Salary/Compensations

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

Benefits

Medical, dental, vision, life, and long-term disability coverage
401(k) plan
Bonus opportunities
Paid holidays
Paid time off

About the Company

Accenture helps the world's leading enterprises reinvent by building their digital core and unleashing the power of AI to create value at speed across industries.
Accenture is a global leader in AI and cloud transformation, helping businesses reimagine their digital core for an AI-native operating model.
The Digital Core Reinvention practice builds resilient, trusted data foundations to power AI at scale.
Accenture is a leading global professional services company that helps businesses, governments and organizations build their digital core, optimize operations, accelerate revenue growth and enhance citizen services.
We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries.
Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships.
We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability.
Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships.
We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.
Visit us at www.accenture.com

Equal Opportunity

We have an unwavering commitment to diversity with the aim that every one of our people has a full sense of belonging within our organization.
As a business imperative, every person at Accenture has the responsibility to create and sustain an inclusive environment.
Inclusion and diversity are fundamental to our culture and core values.
Our rich diversity makes us more innovative and more creative, which helps us better serve our clients and our communities.
Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed.
We believe that no one should be discriminated against because of their differences.
All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law.
Accenture is an EEO and Affirmative Action Employer of Veterans/Individuals with Disabilities.
Accenture is committed to providing veteran employment opportunities to our service men and women.