Data Architecture/Data Fabric Manager - Utilities

Accenture; Seattle (WA); On-site; USD 100,500 - 270,300; Full time

Benefits offered by this job

Medical benefits

Dental & Vision

401(k) plan

Bonus opportunities

Paid holidays

Paid time off

Job summary

Accenture is seeking a senior Data Architect in the United States to design enterprise data fabric solutions across on‑prem and multi‑cloud environments. You will integrate data virtualization, active metadata, knowledge graphs, and automated data integration into a connected data layer used for analytics and AI.

You will define reference architectures, promote governance, and enable self‑service data delivery. Travel up to 100% may be required depending on client needs.

Qualifications

• 7+ years in data architecture or enterprise data engineering.
• 4+ years designing data fabric solutions (virtualization, metadata, knowledge graphs).
• 4+ years with cloud data platforms (Snowflake, Databricks, Synapse, BigQuery).
• 3+ years with data integration/ETL/ELT and metadata tooling.
• 3+ years with API and streaming architectures.
• 1+ year serving utilities sector or related regulatory/finance context.
• Bachelor’s degree or equivalent; 12+ years work experience if no degree.

Responsibilities

• Architect enterprise data fabric delivering unified, automated access across on‑prem and multi‑cloud environments.
• Integrate data virtualization, active metadata, knowledge graphs, cataloging into a connected data layer for analytics and AI.
• Define reference architectures, patterns, and governance for enterprise scale.
• Enable self‑service data consumption and real‑time data delivery through the fabric.
• Apply data mesh and data product concepts across client solutions.
• Advise client architects and leaders as a trusted data modernization advisor.

Skills

Data architecture

Data fabric

Cloud data platforms

Knowledge graphs

Data virtualization

APIs & streaming

Self-service data

Education

Bachelor's degree or equivalent

Tools

Snowflake

Databricks

Azure Synapse

BigQuery

APIs

Streaming architectures

Job description

You Are:

You are a 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 7 years of experience in data architecture or enterprise data engineering.
• Minimum of 4 years of experience architecting data fabric solutions (data virtualization, active metadata, knowledge graphs, automated integration).
• Minimum of 4 years of experience with cloud data platforms (e.g., Snowflake, Databricks, Azure Synapse, BigQuery).
• Minimum of 3 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:

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.

Benefits:

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: U.S. Employee Benefits | Accenture (https://www.accenture.com/us-en/careers/local/benefits)

Role Location and Salary Range:

• California: $94,400 to $293,800
• Cleveland: $87,400 to $235,000
• Colorado: $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
• Virginia: $87,400 to $270,300
• Washington: $100,500 to $270,300

Accommodations:

Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.

Equal Employment Opportunity Statement:

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, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.

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.

Other Employment Statements:

Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.

Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.

Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Further, at Accenture a criminal conviction history is not an absolute bar to employment.

The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company’s legal duty to furnish information.

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