Data Architecture & Engineering Manager

Accenture•Miami, FL

1d•$80,400 - $293,800

About The Position

Accenture’s AI and Data practice works with Resources and Utilities organizations to design data foundations, AI platforms, and governance models. The Data Architecture & Engineering Manager designs enterprise data fabric solutions that provide unified, intelligent, automated access to distributed data across on-premises and multi-cloud environments. The role brings together data virtualization, active metadata, knowledge graphs, cataloging, and automated integration to create a connected data layer for analytics and AI. The position establishes enterprise reference architectures, integration patterns, and governance integration, and enables self-service consumption, data products, and real-time data delivery. It applies data mesh and data product concepts, cloud data platforms, and streaming and API architectures to client challenges. The role also advises client architects and leaders and helps shape major data modernization pursuits. Travel may be required, ranging from 0 to 100% depending on business need and client requirements.

Requirements

At least 7 years of experience in data architecture or enterprise data engineering in an AWS, Microsoft, Google, or similar environment.
At least 4 years of experience architecting data fabric solutions, including data virtualization, active metadata, knowledge graphs, and automated integration.
At least 4 years of experience with cloud data platforms such as Snowflake, Databricks, Azure Synapse, or BigQuery.
At least 3 years of experience with data integration, ETL/ELT, and metadata and lineage tooling.
At least 3 years of experience with API and streaming architectures.
Bachelor’s degree or equivalent, with a minimum of 12 years of work experience; alternatively, an associate degree with a minimum of 6 years of equivalent work experience.

Nice To Haves

At least 1 year of experience serving utilities clients (electric, gas, or water) or working in a utilities finance, controllership, or regulatory function.
Master’s degree in a relevant field.
Hands-on experience applying data mesh and data product operating models.
Cloud or data platform architecture certifications.

Responsibilities

Architect enterprise data fabric solutions for unified, intelligent, automated access to distributed data across on-premises and multi-cloud environments.
Design integration of data virtualization, active metadata, knowledge graphs, cataloging, and automated data integration into a connected layer for analytics and AI.
Define enterprise-scale reference architectures, integration patterns, and governance integration.
Enable self-service data consumption, data products, and real-time data delivery through the fabric.
Apply data mesh and data product concepts, cloud data platforms, and streaming and API architectures to client problems.
Advise client architects and leaders as a trusted advisor and shape solutions for major data modernization pursuits.