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GCP Architect

GCP Architect

TechWise Digital

12 years

0 Lacs

india

Posted:1 day ago| Platform:

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Skills Required

gcp ai learning design data architecture analytics ml deployment dataflow vertex tensorflow etl integration governance compliance security development engineering management automation model monitoring storage optimization python sql pytorch git iam chatbot microservices orchestration kubernetes visualization looker tableau power

Work Mode

On-site

Job Type

Full Time

Job Description

We are seeking an experienced GCP Architect specializing in BigQuery, AI, and Machine Learning to design and implement scalable, data-driven solutions on Google Cloud Platform. The ideal candidate will have a strong background in data architecture, advanced analytics, and modern cloud-based AI/ML frameworks, enabling intelligent insights and predictive capabilities for enterprise systems.

Roles & Responsibilities

Lead the architecture, design, and deployment of scalable data and AI/ML solutions on Google Cloud Platform (GCP).
Architect and implement data pipelines, data lakes, and data warehouses using BigQuery, Dataflow, Dataproc, and Pub/Sub.
Collaborate with business and technical stakeholders to translate analytical requirements into scalable technical solutions.
Build and optimize machine learning models using Vertex AI, TensorFlow, or custom frameworks.
Design ETL/ELT processes and ensure seamless integration of data from diverse sources.
Ensure data quality, governance, and compliance with enterprise standards and security policies.
Evaluate and adopt emerging GCP technologies for AI/ML, data analytics, and automation.
Mentor development teams and establish best practices for data engineering, ML lifecycle management, and CI/CD automation in GCP.
Work closely with cross-functional teams for model deployment, monitoring, and retraining to improve performance.

Must Have

Professional & Technical Skills:

12+ years of total experience, with 4–5 years in GCP architecture and BigQuery.
Strong experience with GCP services: BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Storage, Vertex AI, and AI Platform.
Expertise in data modeling, data lake design, and performance optimization for large datasets.
Hands-on experience in AI/ML model development, deployment, and monitoring.
Proficiency in Python, SQL, and one or more ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
Strong understanding of CI/CD, MLOps, and version control tools (Git, Cloud Build, Kubeflow).
Experience in architecting real-time data analytics and predictive insights pipelines.
Strong grasp of security, IAM, and data governance in cloud environments.

Good To Have

Google Cloud Professional Architect or Professional Data Engineer certification.
Exposure to GenAI, LLMs, or AI-based chatbot solutions.
Knowledge of APIs, microservices, and container orchestration (Kubernetes/GKE).
Familiarity with data visualization tools (Looker Studio, Tableau, or Power BI).

Skills: gcp,architect,bigguery,artificial intelligence,machine learning

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GCP Architect