Skip to main content

Data Architect Sr. Manager

Posted today

accentureScottsdale (AZ)

SENIORITY

Manager

Apply (opens in a new tab)

About the role

Overview: As a data architect, you will design enterprise data fabric solutions that provide unified, automated access to distributed data across on-prem and multi-cloud environments. You will integrate data virtualization, active metadata, knowledge graphs, and cataloging into a connected data layer powering analytics and AI. You will define reference architectures, governance patterns, and scalable data solutions. You will enable self-service data products and real-time delivery while applying modern data paradigms like data mesh. This role offers high-impact work at scale with a trusted advisor stance to clients. Compensation / Benefits medical, dental, vision, life, and long-term disability 401(k) plan bonus opportunities paid holidays paid time off
Responsibilities: Architect enterprise data fabric to deliver unified access to distributed data across on-prem and multi-cloud environments. Integrate data virtualization, active metadata, knowledge graphs, cataloging, and automated data integration into a connected data layer for analytics and AI. Define reference architectures, integration patterns, and governance approaches that scale across the enterprise. Enable data products and self-service consumption with real-time data delivery through the fabric. Apply modern data paradigms including data mesh, cloud data platforms, and streaming/API architectures to client problems. Advise and shape solutions for major data modernization pursuits as a trusted advisor to client architects and leaders.
Key requirements: Minimum 10 years of experience in data architecture or enterprise data engineering Minimum 6 years of experience architecting data fabric solutions (data virtualization, active metadata, knowledge graphs, automated integration) Minimum 5 years of experience with cloud data platforms (Snowflake, Databricks, Azure Synapse, BigQuery) Minimum 4 years of experience with data integration/ETL/ELT and metadata & lineage tooling Minimum 3 years of experience with API and streaming architectures Bachelor's degree or equivalent (minimum 12 years' work experience) trusted advisor stakeholder engagement ability to collaborate with client leaders data fabric data virtualization active metadata

Before you apply

Applying takes about a minute. These four things decide how fast it moves after that.

Your profile is current

It's what we read first. Occupations, seniority and locations matter more than a long history.

Two examples you can talk through

Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.

A number in mind

What you're on now and what would make you move. We negotiate better when we know both.

Your notice period

Employers plan around it, and it's the question that stalls offers most often.

Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.

More like this