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

Impress employers and recruiters.
Choose from hundreds of resume examples.
Tailor your resume to this Lead Data Engineer, AI & Modernization role.
Rezi rewrites your resume against Accenture's job description. Free.

Tailor your resume to this Lead Data Engineer, AI & Modernization role.
Rezi rewrites your resume against Accenture's job description. Free.
Don't guess if your resume is good enough.
See how it scores against the Lead Data Engineer, AI & Modernization posting at Accenture — free, in seconds.

Don't guess if your resume is good enough.
See how it scores against the Lead Data Engineer, AI & Modernization posting at Accenture — free, in seconds.
About the Role
You will lead the data-engineering work on a migration engagement, focusing on pipelines and data products that feed AI systems. This involves applying evidence-extraction techniques like dependency analysis and git-history mining to the source estate before trusting any mapping.
Responsibilities
- Lead the data-engineering work on a migration engagement.
- Develop pipelines and data products feeding AI systems.
- Apply evidence-extraction techniques (dependency analysis, git-history mining) to the source estate.
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 4 years of experience working in agile engineering or consulting teams.
- Minimum of 3 years with Python and SQL at production scale.
- Minimum of 3 years with at least one cloud data platform.
- Working fluency with data lineage and data observability.
- Minimum of 1 year designing data supply for AI systems (vector stores, embedding pipelines, or agent-facing data products).
- Bachelor's degree or equivalent (minimum 12 years) work experience.
- Associate's Degree with minimum 6 years work experience.
Skills
- Python
- SQL
- Cloud data platform
- Data lineage
- Data observability
- Vector stores
- Embedding pipelines
- Agent-facing data products
- Streaming
- CDC
- Kafka
- Flink
- Code-analysis tooling
- Agentic data architecture
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
- 5+ years of data engineering/platform engineering
- 1-2 years AI/LLM data work
- 4+ years agile engineering/consulting
- 3+ years Python/SQL
- 1+ year designing data supply for AI systems
Education Level
- Bachelor's degree or equivalent (12 years work experience)
- Associate's degree (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.
- Accenture is a global leader in AI and cloud transformation, helping businesses reimagine the digital core for an AI-native operating model.
- The Digital Core Reinvention practice builds the data foundations AI systems depend on.
- Accenture is a leading global professional services company that helps 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.
- We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability.
Equal Opportunity
- 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.