Senior Data Fabric Architect & Platform Lead

Accenture; Minneapolis (MN); On-site; USD 94,000 - 254,000; Full time

Job summary

Accenture is seeking a senior data architect to design enterprise data fabric solutions that unify access to distributed data across on-prem and multi-cloud environments, leveraging data virtualization, active metadata, knowledge graphs, and cataloging to power analytics and AI.

Travel may be required; you will define reference architectures, enable data products and self-service, and guide clients through data mesh and cloud platforms such as Snowflake, Databricks, Azure Synapse and BigQuery.

Qualifications

• 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

Responsibilities

• 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 operating models, 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.

Skills

Data architecture

Data fabric

Data virtualization

Active metadata

Knowledge graphs

Cataloging

Self-service data

Streaming architectures

Cloud data platforms

API architectures

Education

Bachelor's degree or equivalent

Job description

Accenture is seeking a senior data architect to design enterprise data fabric solutions that unify access to distributed data across on-prem and multi-cloud environments, leveraging data virtualization, active metadata, knowledge graphs, and cataloging to power analytics and AI.

Travel may be required; you will define reference architectures, enable data products and self-service, and guide clients through data mesh and cloud platforms such as Snowflake, Databricks, Azure Synapse and BigQuery.