Data Architect

Job Description:

Responsibilities:

• Design, implement, and maintain the data architecture for the organization.
• Collaborate with stakeholders to ensure that the data architecture meets business requirements.
• Develop and implement data modeling techniques for both NoSQL and SQL databases.
• Design and implement data governance policies and procedures.
• Design OLTP systems for efficient data processing and transactions.
• Design OLAP systems for efficient data analysis and reporting.
• Develop and implement data migration strategies.
• Ensure data integrity and security across all databases.
• Develop and maintain data dictionaries, metadata repositories, and data lineage documentation.
• Stay up-to-date with emerging technologies and trends in data architecture.
• Proficiency in data formats such as JSON and XML.
• Proficiency in messaging services such as Kafka, Kinesis, and IBM IIB.
• Experience with API development and integration using tools such as MuleSoft and REST APIs.
• Excellent problem-solving and analytical skills.
• Strong communication and collaboration skills with both technical and non-technical stakeholders.

Qualifications:

• Bachelor's or Master's degree in Computer Science, Information Systems, or a related field.
• Minimum of 8-10 years of experience in data architecture with a minimum of 3-5 years of experience in the healthcare domain.
• Strong hands-on experience with NoSQL databases such as MongoDB and DynamoDB.
• Strong hands-on experience with SQL databases such as Postgres and SingleStore (MEM SQL DB).
• Experience in designing OLAP and OLTP systems for efficient data analysis and processing.
• Familiarity with cloud-based data storage solutions like Amazon S3 or Google Cloud Storage.