We Are:
Accenture is a leading global professional services company that helps the world's leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services-creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 790,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world's leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities. Visit us at accenture.com.
Our AI and Data practice sits at the intersection of deep industry knowledge and applied AI and data engineering. We help the world's leading Resources and Utilities organizations reinvent how they run - designing the data foundations, AI platforms, and governance models that turn data into trusted, production-grade intelligence. We are not looking for generalists who advise on AI in the abstract. We need practitioners who understand how enterprises actually operate, where the friction lives, and how to engineer smarter solutions using AI and data to fundamentally transform business processes and outcomes.
You Are:
You are a 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.