Senior Data Architect: Data Fabric & AI Strategy Lead

Accenture; Milwaukee (WI); On-site; USD 130,000 - 210,000; Full time

Benefits offered by this job

Medical benefits

Dental & Vision

Life & Disability coverage

401(k)

Bonuses

Holidays & PTO

Job summary

Accenture is seeking a senior Data Architect to design enterprise data fabric solutions enabling unified, automated access to distributed data 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 for analytics and AI, while defining scalable reference architectures and governance patterns.

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 operating models 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 engineering

Cloud data platforms

Data virtualization

Knowledge graphs

ETL/ELT

APIs

Data governance

Education

Bachelor's degree or equivalent

Tools

Snowflake

Databricks

Azure Synapse

BigQuery

Job description

Accenture is seeking a senior Data Architect to design enterprise data fabric solutions enabling unified, automated access to distributed data 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 for analytics and AI, while defining scalable reference architectures and governance patterns.