Data Architect Sr. Manager

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, Big Query), 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, Big Query)
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…