Google cloud Architect (Google Cloud Platform certified)

  • Alpharetta, GA
  • Posted 1 day ago | Updated 20 hours ago

Overview

On Site
Depends on Experience
Contract - Independent
Contract - W2
Contract - 12 Month(s)

Skills

Good Clinical Practice
Google Cloud
Google Cloud Platform
GCP
certified GCP
google cloud architect
cloud Architect
API
Amazon Redshift
Amazon Web Services
Cloud Computing
Big Data
Cloud Storage
Apache Flink
Apache Kafka
Apache Spark
Data Architecture
Continuous Integration
Continuous Delivery
Data Engineering
Data Flow
Data Governance
Data Marts
Data Modeling
Data Processing
Data Quality
Data Warehouse
DevOps
Docker
Machine Learning (ML)

Job Details

Job Description: Google Cloud Architect (Google Cloud Platform Certified)

Location : Alpharetta, GA

Duration : 12+ Months

 

Qualifications:

  • Bachelor's or Master's degree in Computer Science, Software Engineering, or a related quantitative field.
  • 10+ years of progressive experience in Application Developments using Java/J2EE, Data architecture, Data engineering, or cloud platform engineering.
  • Strong experience in API Developments, Spring Framework, Webservices (Rest/SOAP) , Microservices
  • 5+ years of hands-on experience specifically designing and building large-scale data platforms in a cloud environment.
  • Expertise in designing and implementing data lakes, data warehouses, and data marts in cloud environments.
  • Proficiency in at least one major programming language for data processing (e.g., Python, Scala, Java/J2EE).
  • Deep understanding of distributed data processing frameworks (e.g., Apache Spark, Flink).
  • Experience with various data modeling techniques (dimensional, relational, NoSQL).
  • Solid understanding of DevOps principles, CI/CD pipelines, and infrastructure as code (e.g., Terraform, CloudFormation).
  • Experience with real-time data streaming technologies (e.g., Kafka, Kinesis, Pub/Sub).
  • Strong understanding of data governance, data quality, and metadata management concepts.
  • Excellent communication, presentation, and interpersonal skills with the ability to articulate complex technical concepts to both technical and non-technical audiences.
  • Proven ability to lead and influence technical teams without direct authority.
  • Strong, demonstrable experience with Google Cloud Platform (Google Cloud Platform) big data services (e.g., BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Storage, Composer, Cloud Functions). Google Cloud Platform certifications (e.g., Professional Data Engineer, Professional Cloud Architect)
  • Strong, demonstrable experience with Amazon Web Services (AWS) big data services (e.g., S3, EMR, Kinesis, Redshift, Glue, Athena, Lambda).
  • Google Cloud Platform/AWS certifications (e.g., Solutions Architect Professional, Big Data Specialty).
  • Experience with data mesh principles and implementing domain-oriented data architectures.
  • Familiarity with other cloud platforms (e.g., Azure) or on-premise data technologies.
  • Experience with containerization technologies (e.g., Docker, Kubernetes).
  • Knowledge of machine learning operationalization (MLOps) principles and platforms.
  • Contributions to open-source big data projects.
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