Data Modeller
India - Gurgaon
Rackspace
As a cloud computing services pioneer, we deliver proven multicloud solutions across your apps, data, and security. Maximize the benefits of modern cloud.
Data Modeller–Healthcare Domain Overview We are seeking an experienced Data Modeller with expertise in designing and implementing data models for modern data platforms. This role requires deep knowledge of data modeling techniques, healthcare data structures, and experience with Databricks Lakehouse architecture. The ideal candidate will have a proven track record of translating complex business requirements into efficient, scalable data models that support analytics and reporting needs. About the Role As a Data Modeller, you will be responsible for designing and implementing data models for our Databricks-based Modern Data Platform. You will work closely with business stakeholders, data architects, and data engineers to create logical and physical data models that support the migration from legacy systems to the Databricks Lakehouse architecture, ensuring data integrity, performance, and compliance with healthcare industry standards. Key Responsibilities Design and implement logical and physical data models for Databricks Lakehouse implementations Translate business requirements into efficient, scalable data models Create and maintain data dictionaries, entity relationship diagrams, and model documentation Develop dimensional models, data vault models, and other modeling approaches as appropriate Support the migration of data models from legacy systems to Databricks platform Collaborate with data architects to ensure alignment with overall data architecture Work with data engineers to implement and optimize data models Ensure data models comply with healthcare industry regulations and standards Implement data modeling best practices and standards Provide guidance on data modeling approaches and techniques Participate in data governance initiatives and data quality assessments Stay current with evolving data modeling techniques and industry trends
Qualifications Extensive experience in data modeling for analytics and reporting systems Strong knowledge of dimensional modeling, data vault, and other modeling methodologies Experience with Databricks platform and Delta Lake architecture Expertise in healthcare data modeling and industry standards Experience migrating data models from legacy systems to modern platforms Strong SQL skills and experience with data definition languages Understanding of data governance principles and practices Experience with data modeling tools and technologies Knowledge of performance optimization techniques for data models Bachelor's degree in Computer Science, Information Systems, or related field; advanced degree preferred Professional certifications in data modeling or related areas
Technical Skills Data modeling methodologies (dimensional, data vault, etc.) Databricks platform and Delta Lake SQL and data definition languages Data modeling tools (erwin, ER/Studio, etc.) Data warehousing concepts and principles ETL/ELT processes and data integration Performance tuning for data models Metadata management and data cataloging Cloud platforms (AWS, Azure, GCP) Big data technologies and distributed computing
Healthcare Industry Knowledge Healthcare data structures and relationships Healthcare terminology and coding systems (ICD, CPT, SNOMED, etc.) Healthcare data standards (HL7, FHIR, etc.) Healthcare analytics use cases and requirements Optionally Healthcare regulatory requirements (HIPAA, HITECH, etc.) Clinical and operational data modeling challenges Population health and value-based care data needs
Qualifications Extensive experience in data modeling for analytics and reporting systems Strong knowledge of dimensional modeling, data vault, and other modeling methodologies Experience with Databricks platform and Delta Lake architecture Expertise in healthcare data modeling and industry standards Experience migrating data models from legacy systems to modern platforms Strong SQL skills and experience with data definition languages Understanding of data governance principles and practices Experience with data modeling tools and technologies Knowledge of performance optimization techniques for data models Bachelor's degree in Computer Science, Information Systems, or related field; advanced degree preferred Professional certifications in data modeling or related areas
Technical Skills Data modeling methodologies (dimensional, data vault, etc.) Databricks platform and Delta Lake SQL and data definition languages Data modeling tools (erwin, ER/Studio, etc.) Data warehousing concepts and principles ETL/ELT processes and data integration Performance tuning for data models Metadata management and data cataloging Cloud platforms (AWS, Azure, GCP) Big data technologies and distributed computing
Healthcare Industry Knowledge Healthcare data structures and relationships Healthcare terminology and coding systems (ICD, CPT, SNOMED, etc.) Healthcare data standards (HL7, FHIR, etc.) Healthcare analytics use cases and requirements Optionally Healthcare regulatory requirements (HIPAA, HITECH, etc.) Clinical and operational data modeling challenges Population health and value-based care data needs
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
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Tags: Architecture AWS Azure Big Data Computer Science Databricks Data governance Data quality Data Warehousing ELT ETL GCP HL7 SNOMED SQL
Region:
Asia/Pacific
Country:
India
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