Google Cloud Platform Solutions / Data Architect (Hands-on)

We are seeking a highly experienced Google Cloud Platform Solutions / Data Architect with strong hands-on coding expertise and deep experience building modern data platforms on Google Cloud Platform (Google Cloud Platform). This is a highly technical role requiring architecture leadership plus hands-on delivery in BigQuery, data pipelines, data lakes, and cloud-native analytics solutions.

The ideal candidate will have 15+ years of overall IT experience with 10+ years in Data Engineering, Cloud, Analytics, and modern data architecture. Key Responsibilities

• Design, build, and scale enterprise Data Warehouses and Data Lakes on Google Cloud Platform
• Develop hands-on data pipelines, ingestion frameworks, and transformation workflows on Google Cloud Platform
• Architect and implement scalable solutions using BigQuery (must-have)
• Build semantic data models and optimized reporting layers using BigQuery
• Lead migration initiatives including On-Prem to Cloud and Cloud to Cloud transformations
• Implement modern data architecture patterns including Data Mesh and Data Products
• Design secure, scalable, and maintainable cloud-native platforms
• Build event-driven and streaming architectures for enterprise analytics
• Support AI / ML use cases using Google Cloud Platform tools such as Vertex AI (nice to have)
• Collaborate with business, engineering, and leadership teams on enterprise data strategy
• Drive best practices for Agile delivery, CI/CD, DevOps, governance, and automation
• Provide architecture leadership across end-to-end data engineering and analytics programs

• 15+ years of overall IT experience
• 10+ years of experience in Data Engineering / Cloud / Analytics roles
• Strong hands-on expertise in Google Cloud Platform (Google Cloud Platform)
• Deep experience with Google BigQuery (mandatory)
• Strong experience in data architecture, dimensional modeling, and semantic modeling
• Hands-on experience with:

• Cloud Composer
• Dataflow
• Cloud Storage
• Dataproc
• Google Cloud Platform IaaS / Serverless Services

• Strong experience building ETL / ELT pipelines and large-scale data platforms
• Strong programming skills in Python and/or Java
• Experience in CI/CD, DevOps, and Agile delivery models
• Strong communication and stakeholder management skills

Preferred Skills

• Vertex AI / AI / ML implementation experience
• Agentic AI / GenAI exposure
• Data Governance / Data Management expertise
• Event Streaming architectures
• Retail / Enterprise domain experience

Priority Preference

• Candidates local to Lowell, Arkansas or open to hybrid onsite model
• Strong hands-on profiles only (coding and architecture both required)