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Google Cloud PlatformDataArchitecture

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Starheights Corp is an IT Development & IT Staffing firm with more than a decade of experience in providing IT Staffing Solutions & Services. Our expertise is in sourcing and deploying highly skilled IT Specialist into mainstream and niche technologies to meet client s Temporary, Permanent & SOW project needs.
Job Title: Google Cloud Platform Data Architecture
Location: REMOTE
w2 only
Role and Responsibilities:
Data Architect:
  • Data Architecture Expertise:Lead the design and implementation of robust, scalable and secure data platform architecture that meet business requirements and industry best practices.
  • Solution Design Expertise: Serve as a trusted advisor to our data architecture, data engineering teams, providing guidance on cloud architecture design, implementation strategies and best practices
  • Google Cloud Platform Expertise:Demonstrate proficiency in Google Cloud Platform tools and services, including BigQuery, CloudSpanner, Dataflow, DataForm, Dataprep, and Healthcare APIs. Stay abreast of Google Cloud Platform updates and incorporate new features into our architecture
  • Solution Implementation: Guide, mentor and work with the development team translating architectural design into scalable system(s). Enable Continuous Integration and Continuous Deployment of data model, data pipelines, etc
  • Healthcare Domain Knowledge
  • Cost Optimization: Analyze Google Cloud Platform Services and spending patterns to identify opportunities for cost optimization. Provide architecture recommendations on that selection and resource allocation
  • Arrive at data solution diagrams including data flow diagrams, use case models, etc.
  • Collaborate with Data Modelers, Data Engineers, QA team and stakeholders to ensure thorough understanding of requirements and delivery integrated solution
  • Expert using SQL
  • Advanced experience with ETL/ELT architecture, Data Integration, warehouse implementations and experience with enterprise level ETL/ELT tools.
  • Programming language proficiency in Python, etc
  • Advanced understanding of data normalization and denormalization techniques.
  • Exposure to batch, real-time, near real-time and various data integration patterns
  • Strong interpersonal skills including the ability to lead and facilitate discussions with business and technical stakeholders from executive level leadership to daily hands-on contributors.
  • Expert in time-management and self-directed activity.
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