Data Architect Sr. Manager

Data/Senior Data ArchitectYou 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.Here's what you need:Minimum of 10 years of experience in data architecture or enterprise data engineeringMinimum 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 toolingMinimum of 3 years of experience with API and streaming architecturesBachelor's degree or equivalent (minimum 12 years' work experience). If Associate's Degree, must have equivalent minimum 6-year work experienceBonus Points If:You have a Master's degree in a relevant fieldYou have hands-on experience applying data mesh and data product operating modelsYou have Cloud or data platform architecture certificationsExperience working in Energy, Manufacturing, Utilities or similar industriesCompensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below.Role Location Annual Salary RangeCalifornia $94,400 to $293,800Colorado $94,400 to $253,800Connecticut $94,400 to $253,800District of Columbia $100,500 to $270,300Illinois $87,400 to $253,800Maine $80,400 to $216,200Maryland $94,400 to $253,800Massachusetts $94,400 to $270,300Minnesota $94,400 to $253,800New York $87,400 to $293,800New Jersey $100,500 to $293,800Ohio $87,400 to $235,000Virginia $87,400 to $270,300Washington $100,500 to $270,300