Senior Data Architect: Data Fabric & AI Solutions Lead

Accenture; Detroit (MI); On-site; USD 120,000 - 260,000; Full time

Benefits offered by this job

Master’s degree bonus potential

Data mesh operating models experience

Cloud certifications encouraged

Industry experience in energy/manufact

Job summary

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

You will define reference architectures, govern data integration, and help create data products with self-service capabilities, engaging client architects and leaders to drive major data modernization efforts.

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, 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

Data cataloging

Data integration

Cloud platforms

APIs & streaming

Education

Bachelor's degree or equivalent

Tools

Snowflake

Databricks

Azure Synapse

BigQuery

ETL tooling

Metadata tooling

Job description

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

You will define reference architectures, govern data integration, and help create data products with self-service capabilities, engaging client architects and leaders to drive major data modernization efforts.