Senior Manager, Data Architect

Accenture PLC; Chicago (IL); On-site; USD 80,000 - 294,000; Full time

Benefits offered by this job

Medical

Dental

Vision

Life insurance

Long-term disability coverage

401(k)

Bonus opportunities

Paid holidays

Paid time off

Job summary

Accenture PLC invites a Senior Data Architect to join its Data & AI organization in the United States. You will design enterprise data fabric solutions that enable automated, unified access to distributed data across on-premises and multicloud environments.

You will integrate data virtualization, active metadata, knowledge graphs, cataloging, and data integration, while shaping scalable reference architectures and governance. Travel may range from 0% to 100% based on client needs.

Qualifications

• At least 10 years of experience in data architecture or enterprise data engineering.
• At least 6 years of experience architecting data fabric solutions, including data virtualization, active metadata, knowledge graphs, and automated integration.
• At least 5 years of experience with cloud data platforms such as Snowflake, Databricks, Azure Synapse, or BigQuery.
• At least 4 years of experience with data integration, ETL/ELT, and metadata and lineage tools.
• At least 3 years of experience with API and streaming architectures.
• A bachelors degree or equivalent; alternatively, at least 12 years of work experience. An associates degree requires at least 6 years of equivalent work experience.
• Preferred: a masters degree in a relevant field, hands-on data mesh or data product operating model experience, cloud or data platform architecture certifications, or experience in energy, manufacturing, utilities, or similar industries.

Responsibilities

• Architect enterprise data fabric solutions that provide unified, intelligent, automated access to distributed data across on-premises and multicloud environments.
• Integrate data virtualization, active metadata, knowledge graphs, cataloging, and automated data integration into a connected layer for analytics and AI.
• Define scalable enterprise reference architectures, integration patterns, and governance integration.
• Enable self-service data consumption, data products, and real-time data delivery through the fabric.
• Apply data mesh and data product concepts, cloud data platforms, and streaming and API architectures to client challenges.
• Advise client architects and leaders and shape solutions for major data modernization initiatives.

Skills

Data architecture

Data engineering

Data fabric

Data virtualization

Active metadata

Knowledge graphs

Automated data integration

API architectures

Streaming architectures

Education

Bachelor's degree or equivalent

Associates degree with 6 years experience

Masters degree preferred

Tools

Snowflake

Databricks

Azure Synapse

BigQuery

Data cataloging

Job description

Salary: $80,400 - 293,800 per year

Requirements

• At least 10 years of experience in data architecture or enterprise data engineering.
• At least 6 years of experience architecting data fabric solutions, including data virtualization, active metadata, knowledge graphs, and automated integration.
• At least 5 years of experience with cloud data platforms such as Snowflake, Databricks, Azure Synapse, or BigQuery.
• At least 4 years of experience with data integration, ETL/ELT, and metadata and lineage tools.
• At least 3 years of experience with API and streaming architectures.
• A bachelors degree or equivalent; alternatively, at least 12 years of work experience. An associates degree requires at least 6 years of equivalent work experience.
• Preferred: a masters degree in a relevant field, hands-on data mesh or data product operating model experience, cloud or data platform architecture certifications, or experience in energy, manufacturing, utilities, or similar industries.

Responsibilities

• Architect enterprise data fabric solutions that provide unified, intelligent, automated access to distributed data across on-premises and multicloud environments.
• Integrate data virtualization, active metadata, knowledge graphs, cataloging, and automated data integration into a connected layer for analytics and AI.
• Define scalable enterprise reference architectures, integration patterns, and governance integration.
• Enable self-service data consumption, data products, and real-time data delivery through the fabric.
• Apply data mesh and data product concepts, cloud data platforms, and streaming and API architectures to client challenges.
• Advise client architects and leaders and shape solutions for major data modernization initiatives.

Technologies

• AI
• API
• Architect
• Azure
• BigQuery
• Cloud
• Databricks
• ETL
• Fabric
• Snowflake
• Support

More

We are partnering with hackajob to recruit a Senior Data Architect for Accentures Data & AI organization, which includes more than 45,000 professionals and is supported by a $3 billion investment. In this role, you will help clients use data and AI to optimize and reinvent their businesses. Travel may range from 0% to 100%, depending on business and client needs. Compensation varies by location, role, skills, and experience; advertised annual salary ranges are $80,400–$293,800 across the listed U.S. locations. Our benefits include medical, dental, vision, life, and long-term disability coverage, a 401(k), bonus opportunities, paid holidays, and paid time off.

• medical
• dental
• vision
• life
• long-term disability coverage
• a 401(k)
• bonus opportunities
• paid holidays
• paid time off

We are committed to inclusion, diversity, equal employment opportunity, and reasonable accommodations.

last updated 41 week of 2026