What are the responsibilities and job description for the Job Title: Google Cloud Platform Solutions / Data Architect - Hybrid position at Acunor Infotech?
Job Title: Google Cloud Platform Solutions / Data Architect (Hands-on)
Location: Lowell, Arkansas (Hybrid Onsite)
Job Type: Full-Time
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
- Vertex AI / AI / ML implementation experience
- Agentic AI / GenAI exposure
- Data Governance / Data Management expertise
- Event Streaming architectures
- Retail / Enterprise domain experience
- Candidates local to Lowell, Arkansas or open to hybrid onsite model
- Strong hands-on profiles only (coding and architecture both required)