Data Solution Architect

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., 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

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 Google Cloud Platform 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