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Nextgen Healthcare - Data Modeler

Nextgen Healthcare - Data Modeler

Nextgen HealthcareIndia
30+ days ago
Job description

Job Description :

Data Modeling & Architecture :

  • Design and implement conceptual, logical, and physical data models, including Entity-Relationship (ER) models, Star Schema, Snowflake Schema, Data Vault Modeling, and Dimensional Modeling.
  • Lead the design of normalized and denormalized structures to meet business requirements and ensure optimal performance of the Data Warehouse and Data Marts.
  • Collaborate with business and technical teams to map business requirements to data models, ensuring that Master Data Management (MDM) processes and Golden Record concepts are well-defined.
  • Build and maintain a comprehensive Business Glossary and Data Dictionary to standardize definitions and ensure consistency across the organization.

Data Lineage & Mapping :

  • Ensure that data lineage is accurately defined, visualized, and documented across the Data Warehouse environment.
  • Oversee the data mapping process to track the flow of data from source to destination, ensuring consistency, integrity, and transparency of data throughout its lifecycle.
  • Data Governance & Quality :

  • Implement Data Governance processes to manage data access, quality, security, and compliance.
  • Define and enforce Data Quality standards and practices, including Data Cleansing, to ensure data integrity and accuracy within the data warehouse environment.
  • Work with stakeholders to establish governance frameworks for Data Lineage, ensuring data traceability, and transparency across the platform.
  • Work with data architects and IT leadership to establish guidelines for data access, data security, and lifecycle management.
  • Real-Time Data Ingestion & Change Data Capture (CDC) :

  • Design and implement real-time data ingestion pipelines using Kafka, AWS Kinesis, or Snowpipe to enable streaming data integration into the data warehouse.
  • Implement Change Data Capture (CDC) mechanisms to efficiently capture and propagate data changes from operational systems using tools such as Fivetran or AWS Lambda.
  • Ensure low-latency processing, incremental updates, and data availability for real-time analytics and reporting.
  • Quality Assurance & Continuous Improvement :

  • Ensure high standards for data quality through rigorous testing, data validation, and performance optimization.
  • Continuously evaluate and improve data modeling processes, tools, and methodologies.
  • Automation & Process Improvement :

  • Work with Data Engineers and development teams to improve data platform automation and enhance the data modeling lifecycle.
  • Continuously monitor, test, and optimize data models and pipelines to ensure scalability, flexibility, and performance of the Data Warehouse.
  • Documentation & Reporting :

  • Maintain clear and up-to-date documentation for data models, data lineage, data mappings, and architectural decisions.
  • Create and present technical diagrams, such as Entity-Relationship Diagrams (ERDs), to stakeholders and ensure alignment with business objectives.
  • Platform Design & Deployment :

  • Develop data architecture for the analytics platform on Snowflake and integrate with other AWS tools for robust data management.
  • Work closely with data engineers to automate data pipeline deployments and updates using Fivetran, DBT, and cloud-based solutions.
  • Stakeholder Collaboration :

  • Partner with Product Manager, and other technical teams to define requirements and deliver optimal data architecture solutions.
  • Conduct regular meetings to communicate technical decisions and ensure alignment with business goals and strategy.
  • Contribute to proposal creation and RFP submissions, ensuring technical feasibility and best practices.
  • Documentation & Reporting :

  • Document all design decisions and data models, adhering to existing guidelines and ensuring clear communication across teams.
  • Create presentations and visual data architecture diagrams for internal and external stakeholders.
  • Perform other duties that support the overall objective of the position.
  • Education Required :

  • Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field.
  • Masters degree or certifications in Data Architecture, Cloud Technologies, or related areas is a plus.
  • Or, any combination of education and experience which would provide the required qualifications for the position.
  • Experience Required :

  • 6+ to 10 years in Data Modeling and Data 6+ to 10 years of hands-on experience in data modeling, data architecture, or information architecture with a focus on large-scale data warehouses.
  • 6+ years of experience with dimensional models and relational database management systems (SQL Server, Oracle, DB2, etc.).
  • 5+ years of experience with cloud technologies, especially AWS services and tools.
  • Experience with ETL tools and automation (e.g., Fivetran, DBT).
  • Experience with data governance, data quality frameworks, and metadata management.
  • Preferred :

  • Experience in healthcare data modeling and data warehousing.
  • Expertise in AWS environments.
  • Hands-on experience with data integration and cloud automation tools.
  • Familiarity with business intelligence tools (e.g., Sigma Computing).
  • Understanding of healthcare-specific data governance, regulatory frameworks, and securitycompliance (e.g., HIPAA).
  • Knowledge, Skills & Abilities :

  • Knowledge of : Solid understanding of Data Vault, Star Schema, Snowflake Schema, and dimensional modeling.
  • Proficient in SQL and experience with cloud-based data warehouse solutions such as Snowflake. Familiarity with AWS cloud services, Sigma Computing, Atlan, and Erwin ER diagrams.
  • Skill in : Excellent communication skills to engage with both technical and non-technical stakeholders. Strong analytical and problem-solving skills to design scalable and efficient data models.
  • Ability to : Ability to take ownership of deliverables, manage multiple tasks, and work effectively within an Agile methodology. Proven leadership ability to coach and mentor junior team members.
  • (ref : hirist.tech)

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