> Markdown version of [/jobs/ext/3579280-enterprise-data-architect](https://www.wearedevelopers.com/jobs/ext/3579280-enterprise-data-architect). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Enterprise Data Architect - **Company:** Deloitte T.T.L. - **Location:** Indianapolis, IN, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Business Analytics Applications, Microsoft Azure, Customer Data Management, Data Architecture, Data Dictionary, Information Engineering, Data Governance, Data Infrastructure, Metadata, Meta-Data Management, Salesforce.Com, Enterprise Data Management, Data Strategy, Data Lineage, SAP S/4HANA, Data Management, Domain Driven Design, Data Inconsistencies, Databricks - **Published:** October 4, 2026 - **Apply:** https://www.indianapolisgigs.com/job.asp?id=3418289272&tx=VT6762THT&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54 ## About the Role * 8+ years of experience in data architecture, enterprise information architecture, logical data modeling, or domain-driven design. * Experience defining enterprise canonical models, semantic standards, and data governance frameworks. * Enterprise and cross-domain data modeling expertise. * Experience with metadata management, business glossaries, data lineage, and data governance practices. * Experience with Azure and/or AWS cloud platforms. * Strong stakeholder management, facilitation, and influencing skills. * Experience operating within large, complex, multi-domain organizations. Preferred Domain Expertise Experience in one or more of the following areas * SAP S/4HANA Finance (General Ledger, Planning & Forecasting, Financial Reporting, Enterprise Structures, and Master Data). * Salesforce (Account, Opportunity, Customer 360, Customer Master Data, and Relationship Management). * Enterprise data architecture spanning ERP, CRM, MDM, and analytics platforms. Nice to Have * Experience with Databricks or modern cloud data platforms. * Experience in Data Architecture, Solution Architecture, Data Platform Architecture, Data Governance Architecture, or Senior Data Engineering roles. * Knowledge of data product operating models and domain-oriented architecture principles. ## Description The successful candidate will partner with business stakeholders, Data Product Pods, and technology teams to align enterprise data strategy, governance, and architecture across key platforms and domains. Experience with SAP S/4HANA Finance and/or Salesforce ecosystems is highly desirable., * Lead enterprise data architecture, domain modeling, and governance initiatives across strategic business domains. * Define and maintain enterprise semantic standards, canonical data models, and information architecture standards. * Establish business terminology, domain boundaries, entity definitions, and data relationships. * Develop logical and business domain models supporting enterprise processes and data products. * Define governance, metadata, lineage, stewardship, and data quality standards. * Partner with business stakeholders, Data Product Pods, and architecture teams to ensure enterprise alignment. * Resolve data inconsistencies across ERP, CRM, MDM, and analytics platforms. * Maintain architecture documentation, business glossaries, and data dictionaries. * Support the evolution of modern cloud data platforms and enterprise data management capabilities. ## Related Videos - [A Data Mesh needs Open Metadata](https://www.wearedevelopers.com/videos/505-a-data-mesh-needs-open-metadata) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [Fully Orchestrating Databricks from Airflow](https://www.wearedevelopers.com/videos/336-fully-orchestrating-databricks-from-airflow) - [Parquet, Delta, Iceberg & Ducklake - An introduction for developers](https://www.wearedevelopers.com/videos/100075-parquet-delta-iceberg-ducklake-an-introduction-for-developers) - [From Messy Queries to Scalable Systems - How Data Engineering actually works](https://www.wearedevelopers.com/videos/100203-from-messy-queries-to-scalable-systems-how-data-engineering-actually-works) - [Crafting Custom Frameworks with Rust: A Deep Dive into Procedural Macros](https://www.wearedevelopers.com/videos/849-crafting-custom-frameworks-with-rust-a-deep-dive-into-procedural-macros) ## Related Articles - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Why Event-Driven Architecture Isn’t About Speed (and When You Actually Need It)](https://www.wearedevelopers.com/magazine/745-why-event-driven-architecture-isn-t-about-speed-and-when-you-actually-need-it) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk)