Data Solution Architect
Position: Data Solution Architect Location: St Louis, MO/RemoteDuration: 1 YearJob DetailsRole Overview:The Data Solution Architect (DSA) is responsible for reviewing/assessing existing dataarchitecture and platform components. Also responsible for designing, implementing andmanaging the data solutions. The DSA will work in a collaborative team environment to assessrequirements, define data/technical strategy and deliver solutions.Key ResponsibilitiesReview/Assess existing data architecture and platform components, and define potentialfuture data architecture roadmap/direction aligning to business objectives, data integrity,availability and securityDiscover, analyze and scope data requirements & create high level process models torepresent processes for the area under analysisHands on Data Modeling for Operational Data Store and Data Warehouse applicationsHL7 to Target Data Model and Target Data Model to FHIR MappingExtensive Extracts strategy and reusable framework designQualification & Skills RequiredBachelor's or Master's degree preferably in Computer Science or InformationTechnology or related field10+ years of experience in data strategy, architecture, data integration with at least 5years in Architect roleHealthcare domain experienceProven experience designing and implementing enterprise-scale data architecturesStrong experience in modern data architecture patternsStrong hands-on experience with cloud data solutions. Particularly with GCP serviceslike BigQuery, DataForm, Dataproc, DataFlow, CloudSQL, Spanner, etcImplementation experience of cloud architecture patternsExpertise in ETL/ELT Tools, Services and frameworks for handling large scale dataprocessingExposure various data integration patterns supporting batch, near realtime, real time withhands on implementation experience including Tools, API, pub/sub, etcHands on reusable extracts framework and components designHands on third party integration experience with Salesforce, etcExperience With Microservices Architecture PreferredProficiency in programming languages and scripting for automationStrong Data Modeling experienceProficiency with a range of database systems and hands on experience in datawarehousing technologiesStrong interpersonal and communication skills