Data Architect Sr. Manager

Data/Senior Data Architect

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.

Here's What You Need

• 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

Bonus Points If

• You have a Master's 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

Compensation 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 Range

California $94,400 to $293,800

Colorado $94,400 to $253,800

Connecticut $94,400 to $253,800

District of Columbia $100,500 to $270,300

Illinois $87,400 to $253,800

Maine $80,400 to $216,200

Maryland $94,400 to $253,800

Massachusetts $94,400 to $270,300

Minnesota $94,400 to $253,800

New York $87,400 to $293,800

New Jersey $100,500 to $293,800

Ohio $87,400 to $235,000

Virginia $87,400 to $270,300

Washington $100,500 to $270,300