Enterprise Data Architect

🏢Position Overview

We are seeking an experienced Enterprise Data Architect to join an Enterprise Architecture team and help define and guide enterprise-wide data architecture across applications, integrations, transactional systems, cloud data environments, analytics, and emerging AI capabilities.

This is a strategic architecture role that bridges data warehousing, transactional databases, enterprise integration, and technology strategy. It is not primarily a data engineering, reporting, or analytics position. The Data Architect will establish standards, patterns, and architectural guardrails; evaluate technologies and platforms; guide technical teams; and help ensure technology decisions support long-term enterprise objectives.

The ideal candidate combines strong technical depth with the ability to influence architecture decisions across teams. This person should understand how data moves between transactional systems, integration platforms, and data warehouses and how architectural decisions affect performance, cost, scalability, security, governance, and future capabilities.

✅Key Responsibilities

• ✅Define and evolve enterprise data architecture standards across applications, integrations, cloud platforms, transactional systems, and data warehouse environments.
• ✅Establish scalable integration patterns and architectural guardrails for data exchange between internal systems, enterprise applications, cloud platforms, and third-party/vendor solutions.
• ✅Develop and promote enterprise data modeling standards and best practices supporting both analytical and operational workloads.
• ✅Provide architectural direction for cloud data warehouse environments, including Snowflake or comparable platforms .
• ✅Partner with Solution Architects, development teams, data platform teams, analytics teams, business stakeholders, and external partners to incorporate sound data architecture into solution designs.
• ✅Guide data modeling approaches, including dimensional modeling, star schemas, fact and dimension tables, and trusted/certified datasets.
• ✅Evaluate…