Data Architect (GCP)

Robert Half is seeking a Data Architect for our partner in the Appleton area to help accelerate the development of their modern data platform. This is an opportunity to join a growing data organization that is transitioning to a cloud-based architecture centered around Google Cloud Platform and BigQuery.

The Data Architect will work closely with a team of Data Engineers, Data Analysts, and Data Scientists to establish the technical vision, architecture, and standards for the organization’s modern data environment. This person will provide hands-on technical leadership to the engineering team while helping move the platform from its current development stage into a scalable, production-ready environment.

What You’ll Do

• Define and implement the architecture for a modern cloud data lakehouse using GCP, BigQuery, and related technologies.
• Partner closely with Data Engineers to translate architectural strategy into scalable, production-ready solutions.
• Establish standards and best practices for data ingestion, transformation, storage, orchestration, security, governance, and performance.
• Help accelerate the development and deployment of the organization’s GCP data platform.
• Evaluate existing architecture and recommend improvements to increase scalability, reliability, performance, and development velocity.
• Provide technical leadership, mentorship, and architectural guidance to a team of Data Engineers.
• Work with Data Analysts and Data Scientists to ensure the data platform effectively supports analytics, reporting, machine learning, and AI initiatives.
• Collaborate with Project Managers, Business Analysts, and business stakeholders to translate requirements into effective technical solutions.
• Stay current with emerging data and AI technologies and identify opportunities to incorporate AI into engineering processes and business solutions.
• Remain hands-on with technology, including troubleshooting complex technical challenges and demonstrating solutions for the engineering team.

• 8+ years of experience in data engineering, data architecture, or a related field.
• Proven experience designing and implementing modern data lakehouse architectures.
• Strong hands-on experience with Google Cloud Platform and BigQuery.
• Strong SQL and Python skills, with the ability to demonstrate practical experience.
• Experience with modern cloud data pipelines, data modeling, orchestration, and analytics architectures.
• Experience providing technical direction and mentorship to Data Engineers.
• Strong understanding of data platform scalability, performance, security, governance, and reliability.
• Ability to balance long-term architecture with hands-on technical delivery.
• Passion for AI and a demonstrated interest in identifying practical ways to leverage AI within engineering workflows and business solutions.
• Strong communication skills and the ability to collaborate effectively with both technical and non-technical stakeholders.