GCP Data Architect

United States

Saama

Saama automates key clinical development and commercialization processes, with artificial intelligence (AI), machine learning (ML) and advanced-analytics, accelerating your time to market.

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About the RoleAs a Technical Architect specializing in Healthcare Data Analytics with expertise in Google Cloud  Platform (GCP), you will play a pivotal role in designing and implementing cutting-edge data solutions for  our healthcare clients. Responsibilities:  1. Architectural Design: 
  • Develop robust and scalable architecture solutions tailored to healthcare data analytics requirements.
  • Leverage GCP services to design secure, high-performance, and cost-effective data solutions.  
2. GCP Expertise:  
  • Demonstrate proficiency in GCP tools and services, including BigQuery, Dataflow, Dataprep, and  Healthcare APIs.  
  • Stay abreast of GCP updates and incorporate new features into our architecture.  
3. Healthcare Domain Knowledge:  
  • Utilize your in-depth understanding of healthcare data standards, compliance (e.g., HIPAA), and interoperability.  
  • Collaborate with cross-functional teams to address specific healthcare data challenges.  
4. Solution Implementation:  
  • Lead the implementation of healthcare data analytics solutions, ensuring alignment with industry best  practices.  
  • Work closely with development teams to translate architectural designs into scalable and efficient  systems.  
5. Collaboration:  
  • Collaborate with data scientists, engineers, and stakeholders to understand analytics requirements  and deliver integrated solutions.  
  • Provide technical leadership and mentorship to the development team.  
  • Excellent communication and collaboration skills, with the ability to effectively convey complex
  • technical concepts to both technical and non-technical stakeholders.  
6. Skills Required:  
  • Strong understanding of programming languages, frameworks, and technologies, such as Python and  Spark.  
  • Experience in microservices architecture and containerization technologies, such as Docker and 
  • Kubernetes, to enable efficient deployment and management of distributed applications. 
  • Familiarity with database design and management, including SQL and PLSQL databases. .
  • Strong analytical, problem-solving, and decision-making skills, with the ability to balance technical and business  considerations.  
  • Experience working in Agile environments, with familiarity in Scrum, Kanban, and other Agile  frameworks.  
  • Skilled in applying Agile principles to distributed system design and development.
  • Knowledge of Agile and DevOps methodologies, tools, and practices is a plus. 
 Qualifications:  
  • Proven experience as a Technical Architect, preferably in the healthcare domain. 
  • Strong expertise in designing and implementing data solutions on Google Cloud Platform.
  • In-depth knowledge of healthcare data standards and compliance requirements. 
  • Experience with data analytics tools and frameworks.  
  • Excellent communication and collaboration skills.  
  •  
Education and Certifications:  
  • Bachelor’s or Master’s degree in a relevant technical field.  
  • GCP Professional Architect certification (preferred).
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Category: Architecture Jobs

Tags: Agile APIs Architecture BigQuery Data Analytics Dataflow DevOps Docker GCP Google Cloud Kanban Kubernetes Microservices Python Scrum Spark SQL

Region: North America
Country: United States

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