Job Title: Google Cloud Platform Solutions / Data Architect - Hybrid

Lowell, AR, US • Posted 10 hours ago • Updated 1 hour ago
Full Time
On-site
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Job Details

Skills

  • BigQuery
  • gcp
  • Data Warehouse
  • data lake

Summary

Job Title: Google Cloud Platform Solutions / Data Architect (Hands-on)
Location: Lowell, Arkansas (Hybrid Onsite)
Job Type: Full-Time

Job Summary

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
Required Skills
  • 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)
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91026517
  • Position Id: 2026-1757
  • Posted 10 hours ago

Company Info

About Acunor Infotech

Acunor stands for Accurate North. Similar to North Star, we strive to provide accurate guidance and help our clients in every step of their journey towards a sustainable digital organization. Here at Acunor, we’ve been on a journey to upskill IT practitioners and we are ready to help IT organisations and individuals accelerate their upskilling journey and create the workforce of tomorrow, today.

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