We are seeking a skilled and experienced Data Architect with experience in designing OLAP and OLTP systems for the healthcare domain to join our team. The successful candidate will have experience designing, implementing, and maintaining an organization's data architecture using NoSQL and SQL databases. The Data Architect will ensure the data architecture is scalable, secure, and aligned with the organization's business requirements. The candidate should have a strong understanding of distributed systems and microservices architecture and experience in data warehousing, ETL processes, and cloud-based data storage solutions.
Key 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 modelling 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 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 Single Store (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.