Data Solution Architect

Job Details:


Role Overview:


The Data Solution Architect (DSA) is responsible for reviewing/assessing existing data


architecture and platform components. Also responsible for designing, implementing and


managing the data solutions. The DSA will work in a collaborative team environment to assess


requirements, define data/technical strategy and deliver solutions.


Key Responsibilities:
• Review/Assess existing data architecture and platform components, and define potential


future data architecture roadmap/direction aligning to business objectives, data integrity,


availability and security
• Discover, analyze and scope data requirements & create high level process models to


represent processes for the area under analysis
• Hands on Data Modeling for Operational Data Store and Data Warehouse applications
• HL7 to Target Data Model and Target Data Model to FHIR Mapping
• Extensive Extracts strategy and reusable framework design


Qualification & Skills Required:
• Bachelor's or Master's degree preferably in Computer Science or Information


Technology or related field
• 10+ years of experience in data strategy, architecture, data integration with at least 5


years in Architect role
• Healthcare domain experience
• Proven experience designing and implementing enterprise-scale data architectures
• Strong experience in modern data architecture patterns
• Strong hands-on experience with cloud data solutions. Particularly with GCP services


like BigQuery, DataForm, Dataproc, DataFlow, CloudSQL, Spanner, etc
• Implementation experience of cloud architecture patterns
• Expertise in ETL/ELT Tools, Services and frameworks for handling large scale data


processing
• Exposure various data integration patterns supporting batch, near realtime, real time with


hands on implementation experience including Tools, API, pub/sub, etc
• Hands on reusable extracts framework and components design
• Hands on third party integration experience with Salesforce, etc
• Experience with Microservices architecture preferred
• Proficiency in programming languages and scripting for automation
• Strong Data Modeling experience
• Proficiency with a range of database systems and hands on experience in data


warehousing technologies
• Strong interpersonal and communication skills