Find Jobs
Find Jobs Near You – Available Work in Your Location
Skip to job details
RH
Robert Half
Data Architect (GCP)
Career Insights for Data Architect
See where this job fits in the broader career landscape. Knowing your career path helps you see what's possible from here.
Scorecard
Based on Wisconsin data
Review key factors to help you decide if this role fits your goals. How is this calculated?
What they do
A Data Architect develops computer databases for a company or organization. Designs, builds and implements databases and database systems that meet business requirements. Supports database administration, develops database security policies and works to prevent cyber attacks.
$147,956 / year median in Wisconsin
-3% projected decline
Job 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 DoDefine 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.
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 DoDefine 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.