Data Architecture & Data Fabric Senior Manager

Salary: $112,900 - 338,300 per year Requirements:

• We need at least 10 years of experience in data architecture or enterprise data engineering.
• We need at least 6 years of experience architecting data fabric solutions, including data virtualization, active metadata, knowledge graphs, and automated integration.
• We need at least 5 years of experience with cloud data platforms such as Snowflake, Databricks, Azure Synapse, or BigQuery.
• We need at least 4 years of experience with data integration, ETL/ELT, and metadata and lineage tooling.
• We need at least 3 years of experience with API and streaming architectures.
• We need at least 1 year of experience supporting utilities clients, such as electric, gas, or water, or working in a utilities finance, controllership, or regulatory function.
• We need a bachelors degree or equivalent, meaning at least 12 years of work experience.
• If you hold an associates degree, we require equivalent minimum 6 years of work experience.
• A masters degree in a relevant field is a plus.
• Hands-on experience applying data mesh and data product operating models is preferred.
• Cloud or data platform architecture certifications are a bonus.

• We design enterprise data fabric solutions that provide unified, intelligent, automated access to distributed data across on-premises and multi-cloud environments.
• We integrate data virtualization, active metadata, knowledge graphs, cataloging, and automated data integration into a connected data layer for analytics and AI.
• We define reference architectures, integration patterns, and governance integration that can scale across the enterprise.
• We enable self-service consumption, data products, and real-time data delivery through the fabric.
• We apply modern data approaches, including data mesh, data products, cloud data platforms, and streaming/API architectures, to client challenges.
• We advise client architects and leaders as trusted partners and help shape solutions for major data modernization pursuits.

• AI
• API
• Azure
• BigQuery
• Cloud
• Databricks
• ETL
• Fabric
• Support
• Snowflake
• Architect

More:

We are Accenture, a leading global professional services company helping organizations build their digital core, improve operations, accelerate growth, and enhance citizen services. Our AI and Data practice sits at the intersection of deep industry expertise and applied AI and data engineering, with a focus on helping Resources and Utilities organizations reinvent how they operate through trusted, production-grade data foundations, AI platforms, and governance models. We offer a market-competitive benefits package that includes medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off. This role may involve travel depending on business and client needs, and the posting includes salary ranges that vary by location. We are committed to diversity, inclusion, equal opportunity, and veteran employment support.

last updated 37 week of 2026