Enterprise Data Platform Modernization Architect

Tasks

• Lead enterprise data platform modernization and cloud transformation programs.
• Define target-state and transition-state architectures and modernization roadmaps.
• Design modern data lakehouse, data warehousing, and enterprise analytics solutions.
• Lead architecture blueprinting, technology evaluation, migration planning, and solution design.
• Design data integration architectures, including CDC, event streaming, and event-driven solutions.
• Establish data governance frameworks, architecture standards, and engineering best practices.
• Collaborate with business stakeholders, engineering teams, and enterprise architects.
• Support client workshops, solution proposals, executive presentations, and architecture reviews.

Requirements

• Google Cloud Platform (GCP)
• Enterprise Data Architecture & Solution Architecture
• Data Platform Modernization & Cloud Transformation
• Modern Data Lakehouse & Data Warehousing
• Databricks & PySpark
• Python
• Apache Kafka & Real-Time Data Streaming
• Data Modeling & Information Architecture
• API & Enterprise Integration Architecture
• Data Mesh and Event-Driven Architecture
• 10+ years of relevant experience in data architecture, data engineering, or cloud transformation.
• Strong client-facing consulting, stakeholder management, and presentation skills.
• Google Cloud Professional Cloud Architect and/or Professional Data Engineer certification preferred.

Schedule

• Duration: 6 Months
• 100% Onsite or Hybrid

How to apply

• Share your updated resume by email.

Location

• Phoenix, Arizona