You Are:

You are a 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

• Minimum of 1 year of experience serving utilities clients (electric, gas, or water) or in a utilities finance, controllership, or regulatory function.

• 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

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 08/25/2026.

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:

Role Location Annual Salary Range
California $132,500 to $338,300
Cleveland $122,700 to $270,600
Colorado $132,500 to $292,200
District of Columbia $141,100 to $311,200
Illinois $122,700 to $292,200
Maine $112,900 to $249,000
Maryland $132,500 to $292,200
Massachusetts $132,500 to $311,200
Minnesota $132,500 to $292,200
New York $122,700 to $338,300
New Jersey $141,100 to $338,300
Virginia $122,700 to $311,200
Washington $141,100 to $311,200