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.
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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.
- Bachelor’s or Master’s degree in a relevant technical field.
- GCP Professional Architect certification (preferred).
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
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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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