Senior Data Fabric Architect & AI Analytics Lead

Accenture; Redmond (WA); On-site; USD 101,000 - 270,000; Full time

Benefits offered by this job

Medical benefits

401(k) plan

Bonus opportunities

Paid holidays & time off

Job summary

Accenture is seeking a seasoned Data Architect to design enterprise data fabric solutions enabling unified, intelligent, automated access to distributed data across on-prem and multi-cloud environments.

You will lead data virtualization, active metadata, and knowledge graphs, shaping reference architectures and governance for scalable enterprise data modernization, while enabling data products and real‑time delivery. Travel may be required.

Qualifications

• 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.

Responsibilities

• 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.

Skills

Data architecture

Enterprise data fabric

Data virtualization

Knowledge graphs

Cataloging

Automation & integration

Education

Bachelor's degree or equivalent (minimum 12 years' work experience)

Master’s degree (bonus)

Tools

Snowflake

Databricks

Azure Synapse

BigQuery

Job description

Accenture is seeking a seasoned Data Architect to design enterprise data fabric solutions enabling unified, intelligent, automated access to distributed data across on-prem and multi-cloud environments.

You will lead data virtualization, active metadata, and knowledge graphs, shaping reference architectures and governance for scalable enterprise data modernization, while enabling data products and real‑time delivery. Travel may be required.