Data Architect

Job Summary

The Data Architect is responsible for defining and evolving the enterprise data architecture to ensure data is structured, integrated, governed, secure, reusable, and aligned with business and digital transformation goals.

Responsibilities

• Develop and maintain enterprise data architecture aligned with business strategy and enterprise architecture.
• Assess current data landscape including sources, stores, applications, interfaces, ownership, duplication, and quality.
• Define target-state data architecture and transition roadmaps supporting enterprise transformation.
• Establish enterprise data domains and define relationships with business capabilities, applications, and data owners.
• Create conceptual, logical, and high-level physical data models as needed.
• Design data lineage, flow, and information exchange models across business and technology environments.
• Define application-to-data relationships, CRUD responsibilities, and data ownership dependencies.
• Support architecture for data warehouses, data lakes, lakehouses, analytics platforms, and BI environments.

Requirements

• 8-10 years of experience in data management, data engineering, database design, analytics, or related fields.
• 4-5 years of hands-on experience in Data Architecture or similar senior data design roles.
• Experience developing enterprise data models, data domains, lineage, and target-state data architecture.
• Experience with enterprise-scale transformation, data modernization, digital transformation, or data governance initiatives.
• Strong experience working across multiple applications, databases, data platforms, and integration technologies.
• Experience collaborating with business stakeholders, data owners, data stewards, technology teams, and senior management.
• Knowledge of enterprise data architecture, data modeling, data governance, metadata management, and data quality architecture.
• Familiarity with data integration, APIs, batch and event-driven data exchange, and data pipelines.
• Understanding of data warehouse, data lake, lakehouse, analytics, and business intelligence architectures.
• Experience with architecture governance, stakeholder management, and consulting.

We refresh listings regularly, but some roles close early on the source platform.