Lead Data Architect - Enterprise Data Fabric & AI

Accenture; St. Louis (MO); On-site; USD 120,000 - 250,000; Full time

Job summary

Accenture seeks a senior data architect to design enterprise data fabric solutions enabling unified, intelligent access to distributed data across on-prem and multi-cloud environments.

You will integrate data virtualization, active metadata, knowledge graphs, and automated data integration into a connected data layer for analytics and AI, shaping reference architectures and governance at scale. Travel may be required.

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 data 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 fabric

Data virtualization

Active metadata

Knowledge graphs

Cataloging

Automation

Data products

Data mesh

Cloud platforms

APIs

Streaming architectures

Education

Bachelor's degree or equivalent

Tools

Snowflake

Databricks

Azure Synapse

BigQuery

Job description

Accenture seeks a senior data architect to design enterprise data fabric solutions enabling unified, intelligent access to distributed data across on-prem and multi-cloud environments.

You will integrate data virtualization, active metadata, knowledge graphs, and automated data integration into a connected data layer for analytics and AI, shaping reference architectures and governance at scale. Travel may be required.