Senior Enterprise Data & AI Architect

Forvis Mazars, LLP; Dallas (TX); On-site; USD 180,000 - 260,000; Full time

Job summary

Forvis Mazars, LLP is seeking an experienced Enterprise Data & AI Architect to define and deliver the next generation of our data and AI architecture. You will shape architectures for the Databricks Intelligence Platform, enabling trusted data for reporting, analytics, real-time data, and generative AI capabilities across the firm.

You will lead architecture reviews, partner with engineering to translate designs, and work across governance, security, and privacy teams to embed best practices.

Qualifications

• Eight or more years of experience with enterprise data platforms across data engineering, reporting, analytics, or architecture.
• Five or more years of experience architecting enterprise data platforms using Databricks.
• Hands-on architecture experience with Unity Catalog, lakehouse architecture, Medallion architecture, data modeling, data security frameworks, and reference data architectures.
• Strong understanding of scalable data pipelines, orchestration, performance, and reliability.
• Strong understanding of AI and machine-learning architectures.
• Hands-on experience designing governed data access for AI agents, reusable agent services, tool and function interfaces, and orchestration patterns.
• Strong Microsoft Azure architecture experience, particularly across networking, identity, storage, security, and Databricks integrations.
• Working knowledge of Microsoft Fabric, Power BI, Microsoft Copilot, Copilot Studio, and Microsoft Foundry integration patterns.
• Experience designing data security frameworks that incorporate identity-based access, least-privilege principles, data classification, sensitive-data protection, and secure data and AI consumption.
• Demonstrated ability to architect enterprise data and AI capabilities on Databricks.
• Experience designing reusable, governed data and AI services that support multiple analytics, machine-learning, and agentic AI use cases.
• Ability to translate architecture strategy and standards into implementable technical designs.
• Strong communication and collaboration skills with the ability to work across business, engineering, security, governance, and enterprise architecture teams.
• Experience providing technical guidance, coaching, or supervision to technology professionals.

Responsibilities

• Define and maintain the target architecture for enterprise data and AI, including reference architectures, patterns, principles, and technology standards.
• Provide architecture leadership across data architecture, enterprise AI architecture, and information architecture.
• Architect enterprise lakehouse solutions using Databricks, including Medallion architecture, layered data structures, reusable data products, semantic structures, and governed consumption patterns.
• Design data architectures that support business intelligence, reporting, analytics, machine learning, AI assistants, and agentic AI from a common, governed data foundation.
• Establish patterns for reusable data and AI services rather than developing separate infrastructure for each AI use case.
• Design secure data architectures using Unity Catalog, including data-access boundaries, metadata management, row- and column-level security, lineage, and governance.
• Establish architecture patterns for governed data access by AI agents, reusable agent services, tool and function interfaces, and orchestration.
• Lead architecture reviews for new data, analytics, and AI solutions to ensure alignment with enterprise standards before governed data access is provided.
• Partner with engineering teams to translate architecture into implementable technical designs.
• Remain sufficiently hands-on to validate architecture patterns and resolve complex design issues.
• Work with Data Governance, Security, and Privacy teams to embed security, privacy, data quality, lineage, and governance into solution designs.
• Partner with Enterprise Architecture to evaluate new data and AI capabilities and determine their potential fit for the firm.
• Provide data architecture leadership across business domains while balancing service-line and domain requirements with enterprise standards.
• Evaluate new capabilities within the Databricks Intelligence Platform and determine their suitability for enterprise use.
• Coach and supervise the Databricks Platform Administrator

Skills

Data architecture

Databricks

Unity Catalog

Azure

Power BI

AI architectures

Team leadership

Education

Bachelor's degree in computer science or related field

Databricks professional certification

Tools

Databricks

Microsoft Fabric

Power BI

Copilot Studio

Microsoft Foundry

Job description

Forvis Mazars, LLP is seeking an experienced Enterprise Data & AI Architect to define and deliver the next generation of our data and AI architecture. You will shape architectures for the Databricks Intelligence Platform, enabling trusted data for reporting, analytics, real-time data, and generative AI capabilities across the firm.

You will lead architecture reviews, partner with engineering to translate designs, and work across governance, security, and privacy teams to embed best practices.