Cloud Data Architect

24 hours ago


Bengaluru, Karnataka, India HealthEdge Full time

**Job Title:** Cloud Data Architect

About Us:

HealthEdge is a leader in healthcare technology, providing innovative solutions to empower healthcare organizations.

Salary Range: $120,000 - $180,000 per year

Job Description:

We are seeking an experienced Cloud Data Architect to join our team. As a key member of our data engineering team, you will design and implement scalable cloud-based data architectures that meet the evolving needs of our business.

The ideal candidate will have a strong background in cloud computing, data engineering, and software development. You will work closely with cross-functional teams to develop and maintain high-quality, secure, and performant cloud-based data systems.

Responsibilities:

  • Design and implement cloud-based data architectures using Microsoft Azure, AWS, or GCP
  • Develop and maintain data pipelines to extract, transform, and load data from various sources
  • Collaborate with data engineers, scientists, and analysts to ensure data quality, security, and compliance
  • Work with stakeholders to define data requirements, create data models, and implement data governance policies
  • Develop and maintain documentation for data systems, including architecture diagrams, technical specifications, and operational procedures
  • Stay up-to-date with industry trends, best practices, and emerging technologies in cloud computing and data engineering

Requirements:

  • 5+ years of experience in cloud computing, data engineering, and software development
  • Strong understanding of cloud-based data platforms, including Azure Data Factory, AWS Glue, and GCP Dataflow
  • Experience with containerization using Docker and Kubernetes
  • Proficient in programming languages such as Python, Java, and C#
  • Excellent communication and collaboration skills

Bonus Points:

  • Hands-on experience with cloud migration, data warehousing, and big data processing
  • Certification in one of the cloud platforms (AWS/GCP/Azure)
  • Experience with real-time data streaming tools like Kafka, Kinesis, or similar tools


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