Description 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 Google Cloud Platform, 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 Google Cloud Platform 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.
Requirements - 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.
Technology Doesn't Change the World, People Do.
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All applicants applying for U.S. job openings must be legally authorized to work in the United States. Benefits are available to contract/temporary professionals, including medical, vision, dental, and life and disability insurance. Hired contract/temporary professionals are also eligible to enroll in our company 401(k) plan. Visit roberthalf.gobenefits.net for more information.
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