Data Architect Sr. Manager

We Are:

The beginning of a new Data & AI decade that will reshape work and society has begun. Accenture is stepping boldly into this future with a clear strategy and purpose: to help clients optimize and reinvent their business with data & AI - backed by a $3B investment and commitment to our people to do industry-defining work.

With over 45,000 professionals dedicated to Data & AI, Accenture's Data & AI organization brings together our Experienced Innovation, Strategic Investment, Exceptional Talent, and Power Ecosystem.

You Are:

You are a data/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.