We Are:
The beginning of a new Data & AI decade that will reshape work and society has begun. Accenture is stepping boldly into this future with a clear strategy and purpose: to help clients optimize and reinvent their business with data & AI — backed by a $3B investment and commitment to our people to do industry-defining work.
With over 45,000 professionals dedicated to Data & AI, Accenture’s Data & AI organization brings together our Experienced Innovation, Strategic Investment, Exceptional Talent, and Power Ecosystem.
You Are:
You are a data/senior data architect who designs enterprise data fabric solutions that provide unified, intelligent, automated access to distributed data across on-prem and multi-cloud environments. You bring together data virtualization, active metadata, knowledge graphs, cataloging, and automated integration into a connected data layer that powers analytics and AI — and you can define the reference architectures and integration patterns that make it real.
The Work:
- Architect enterprise data fabric — design data fabric solutions that deliver unified, intelligent, automated access to distributed data across on-prem and multi-cloud environments.
- Integrate the connected data layer — design the integration of data virtualization, active metadata, knowledge graphs, cataloging, and automated data integration into a connected data layer for analytics and AI.
- Define reference architectures — establish reference architectures, integration patterns, and governance integration that scale across the enterprise.
- Enable data products and self-service — support self-service consumption, data products, and real-time data delivery through the fabric.
- Apply modern data paradigms — bring data mesh and data product concepts, cloud data platforms (Snowflake, Databricks, Azure Synapse, BigQuery), and streaming/API architectures to bear on client problems.
- Advise and shape solutions — engage client architects and leaders as a trusted advisor and shape solutions for major data modernization pursuits.
Travel may be required for this role, varying from 0 to 100% depending on business need and client requirements.
Here’s what you need
- Minimum of 10 years of experience in data architecture or enterprise data engineering
- Minimum of 6 years of experience architecting data fabric solutions (data virtualization, active metadata, knowledge graphs, automated integration)
- Minimum of 5 years of experience with cloud data platforms (e.g., Snowflake, Databricks, Azure Synapse, BigQuery)
- Minimum of 4 years of experience with data integration/ETL/ELT and metadata & lineage tooling
- Minimum of 3 years of experience with API and streaming architectures
- Bachelor’s degree or equivalent (minimum 12 years’ work experience). If Associate’s Degree, must have equivalent minimum 6-year work experience
Bonus Points If:
- You have a Master’s degree in a relevant field
- You have hands-on experience applying data mesh and data product operating models
- You have Cloud or data platform architecture certifications
- Experience working in Energy, Manufacturing, Utilities or similar industries
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 11/30/2026.
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
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