GCP Data Architect
Job Summary
Job Description
As a GCP Data Architect specializing in Healthcare Data Analytics, you will design and implement data solutions for healthcare clients. Responsibilities include architectural design using GCP services (BigQuery, Dataflow, Dataprep, Healthcare APIs), ensuring secure, high-performance, and cost-effective solutions. You will leverage your healthcare data standards and compliance (HIPAA) knowledge, collaborate with cross-functional teams, and lead solution implementation. This role requires proficiency in Python, Spark, microservices, containerization, database design, and Agile methodologies. You will provide technical leadership and mentorship to the development team.
Must have:
- GCP expertise (BigQuery, Dataflow etc.)
- Healthcare data standards & compliance (HIPAA)
- Architectural design & implementation
- Python, Spark, Microservices experience
- Agile methodologies & collaboration skills
Good to have:
- Docker, Kubernetes
- SQL, PLSQL
- GCP Professional Architect certification
11 skills required
Job Details
Description
About the Role
As 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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