Data Modeler, (IBM UDMH, FHIR)
United States
Saama
Saama automates key clinical development and commercialization processes, with artificial intelligence (AI), machine learning (ML) and advanced-analytics, accelerating your time to market.
Data Modeler - Job Description
Role Overview:The Data Modeler is responsible for designing, developing and managing the data models that support operational, real-time and analytical applications. The Data Modeler will work in a collaborative team environment to assess requirements, define data modelling strategy and deliver solutions.
The Data Modeler must also have a strong hands-on experience in designing business data model (Conceptual Model) aligning and mapping across HL7, FHIR and IBM UDMH with strong Healthcare domain knowledge.
Key Responsibilities:
● Design/Develop/Maintain data models (including Business/Conceptual, Logical and Physical models) that support operational, real-time and analytical applications
● Create optimized data designs that facilitate consistency, reuse and ensure efficient storage and retrieval and limit data duplications
● Developing models in IBM IDA tool
● Use data modeling to create a common language with visual references to describe data and its relationships across business domains
● Design and map business entities/attributes across HL7, FHIR and IBM UDMH
● Design and map logical/physical entities/attributes across HL7, FHIR and IBM UDMH
● Conduct data profiling and analysis to identify data quality issues and propose solutions for data cleansing and enrichment
● Establishs team operational plans, develops/implements new processes, standards, and operational plans that impact results, develops technical roadmaps
● Collaborates with internal and external teams to ensure timely, high quality solutions
● Model/fine tune data models for relational, columnar and no-sql databases
● Perform Source to Target mapping (covering conceptual, logical and physical models)
● Influences others in technical decision-making / technology adoption in assigned domain
● Arrive at solutions including data flow diagrams, process diagrams, use case models as required
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 and analytical engagements with at least 5 years in data modeling role
● Healthcare domain experience
● Advanced knowledge in data modeling techniques such as Business process Model, Entity Relationship, dimensional modeling, data vault, etc
● Implementation experience in cloud architecture patterns particularly in GCP
● Strong SQL and programming language experience
● Experience in Git, Jira and Confluence tools
● Comprehensive knowledge of agile development methodologies
● Hands on experience in ERWin, IBM IDA tools
● Demonstrated experience modelling for real time applications
● Ability to collaborate across multiple work locations/teams
● Ability to deliver on ambiguous projects with incomplete information
● Advanced verbal / written / presentation skills
Role Overview:The Data Modeler is responsible for designing, developing and managing the data models that support operational, real-time and analytical applications. The Data Modeler will work in a collaborative team environment to assess requirements, define data modelling strategy and deliver solutions.
The Data Modeler must also have a strong hands-on experience in designing business data model (Conceptual Model) aligning and mapping across HL7, FHIR and IBM UDMH with strong Healthcare domain knowledge.
Key Responsibilities:
● Design/Develop/Maintain data models (including Business/Conceptual, Logical and Physical models) that support operational, real-time and analytical applications
● Create optimized data designs that facilitate consistency, reuse and ensure efficient storage and retrieval and limit data duplications
● Developing models in IBM IDA tool
● Use data modeling to create a common language with visual references to describe data and its relationships across business domains
● Design and map business entities/attributes across HL7, FHIR and IBM UDMH
● Design and map logical/physical entities/attributes across HL7, FHIR and IBM UDMH
● Conduct data profiling and analysis to identify data quality issues and propose solutions for data cleansing and enrichment
● Establishs team operational plans, develops/implements new processes, standards, and operational plans that impact results, develops technical roadmaps
● Collaborates with internal and external teams to ensure timely, high quality solutions
● Model/fine tune data models for relational, columnar and no-sql databases
● Perform Source to Target mapping (covering conceptual, logical and physical models)
● Influences others in technical decision-making / technology adoption in assigned domain
● Arrive at solutions including data flow diagrams, process diagrams, use case models as required
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 and analytical engagements with at least 5 years in data modeling role
● Healthcare domain experience
● Advanced knowledge in data modeling techniques such as Business process Model, Entity Relationship, dimensional modeling, data vault, etc
● Implementation experience in cloud architecture patterns particularly in GCP
● Strong SQL and programming language experience
● Experience in Git, Jira and Confluence tools
● Comprehensive knowledge of agile development methodologies
● Hands on experience in ERWin, IBM IDA tools
● Demonstrated experience modelling for real time applications
● Ability to collaborate across multiple work locations/teams
● Ability to deliver on ambiguous projects with incomplete information
● Advanced verbal / written / presentation skills
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Job stats:
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Tags: Agile Architecture Computer Science Confluence Data quality GCP Git HL7 Jira SQL
Region:
North America
Country:
United States
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