GCP Data Integration Architect (Salesforce)

at  Saama Technologies Inc

GCP TECHNICAL ARCHITECT (SALESFORCE)

As a Technical Architect specializing in Healthcare Data Analytics with expertise in Google Cloud Platform (GCP), Salesforce data cloud you will play a pivotal role in designing and implementing cutting-edge data solutions for our healthcare clients. Knowledge on Salesforce data integration is a must to have.

• 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.
• GCP Expertise: Demonstrate proficiency in GCP tools and services, including Big Query, Dataflow, Dataprep, and Healthcare APIs. Stay abreast of GCP updates and incorporate new features into our architecture.
• 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.
• 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.
• 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.

Qualifications:

• Proven experience as a Technical Architect, preferably in the healthcare domain.
• Strong expertise in designing and implementing data solutions on Google Cloud Platform.
• Knowledge on Salesforce data integration is a must.
• 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).

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.

• 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.
• GCP Expertise: Demonstrate proficiency in GCP tools and services, including Big Query, Dataflow, Dataprep, and Healthcare APIs. Stay abreast of GCP updates and incorporate new features into our architecture.
• 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.
• 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.
• 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