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# Data Architect Sr. Manager

- **Company:** Accenture
- **Location:** Detroit, MI, United States
- **Experience:** Expert
- **Salary:** $94,400.0 - $293,800.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, BigQuery, Cloud Computing, Data Architecture, Data Infrastructure, Data Integration, Extract Transform Load (ETL), Data Virtualization, Distributed Data Store, Graph Database, Metadata, Cloud Services, Data Mesh, Snowflake, Multi-Cloud, Data Layers, Event Driven Architecture, Real Time Data, Azure Synapse Analytics, Databricks
- **Published:** October 8, 2026
- **Apply:** https://www.detroitjobsite.com/job.asp?id=3425138969&tx=JK8579FFQ&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* 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 Associates Degree, must have equivalent minimum 6-year work experience, * You have a Masters degree in a relevant field
 * You have hands-on experience applying data mesh and data product operating models
 * You have Cloud or data platform architecture certifications
 * Experience working in Energy, Manufacturing, Utilities or similar industries

## Description

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., * 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.