Data Solution Architect
TechnoSphere, Inc.
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 must have
● 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
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