Senior Data Modeler

NextGen Healthcare India

Website: nextgen.com
Job details:

The Senior Data Modeler will be responsible for shaping and managing the data models and architecture, enabling the organization to store, analyze, and leverage large-scale healthcare data efficiently. This includes developing and implementing reliable, scalable, and effective data models for various data warehouse solutions using cutting-edge tools such as Fivetran, DBT, Snowflake, AWS, Atlan, Erwin ER Diagrams, and Sigma Computing. This role will collaborate with a diverse set of stakeholders to develop a comprehensive data architecture that supports decision-making, reporting, analytics, and data governance. This role requires significant experience with dimensional models, RDBMS, cloud platforms, and ETL processes. This role will be responsible for defining and designing data models that support data governance, data quality, and master data management (MDM), while also working with stakeholders to implement data-driven solutions that enhance business outcomes in the healthcare sector. A strong focus will be placed on creating a trusted data environment by ensuring accurate data mapping, implementing Golden Record practices.

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 & Mappin

• g:Ensure that data lineage is accurately defined, visualized, and documented across the Data Warehouse environmen
• t.Oversee the data mapping process to track the flow of data from source to destination, ensuring consistency, integrity, and transparency of data throughout its lifecycl

e.
Data Governance & Quali

• ty:Implement Data Governance processes to manage data access, quality, security, and complian
• ce.Define and enforce Data Quality standards and practices, including Data Cleansing, to ensure data integrity and accuracy within the data warehouse environme
• nt.Work with stakeholders to establish governance frameworks for Data Lineage, ensuring data traceability, and transparency across the platfo
• rm.Work with data architects and IT leadership to establish guidelines for data access, data security, and lifecycle manageme

nt.
Real-Time Data Ingestion & Change Data Capture (C

• DC):Design and implement real-time data ingestion pipelines using Kafka, AWS Kinesis, or Snowpipe to enable streaming data integration into the data wareho
• use.Implement Change Data Capture (CDC) mechanisms to efficiently capture and propagate data changes from operational systems using tools such as Fivetran or AWS Lam
• bda.Ensure low-latency processing, incremental updates, and data availability for real-time analytics and report

ing.
Quality Assurance & Continuous Improve

• ment:Ensure high standards for data quality through rigorous testing, data validation, and performance optimiza
• tion.Continuously evaluate and improve data modeling processes, tools, and methodolo

gies.
Automation & Process Improv

• ement:Work with Data Engineers and development teams to improve data platform automation and enhance the data modeling life
• cycle.Continuously monitor, test, and optimize data models and pipelines to ensure scalability, flexibility, and performance of the Data Ware

house.
Documentation & Rep

• orting:Maintain clear and up-to-date documentation for data models, data lineage, data mappings, and architectural dec
• isions.Create and present technical diagrams, such as Entity-Relationship Diagrams (ERDs), to stakeholders and ensure alignment with business obje

ctives.
Platform Design & Dep

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

lutions.
Stakeholder Colla

• boration:Partner with Product Manager, and other technical teams to define requirements and deliver optimal data architecture s
• olutions.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 p

ractices.
Documentation &

• Reporting:Document all design decisions and data models, adhering to existing guidelines and ensuring clear communication acr
• oss teams.Create presentations and visual data architecture diagrams for internal and external sta
• keholders.Perform other duties that support the overall objective of the

position.
Educatio

• n Required:Bachelor's degree in Computer Science, Information Technology, Data Science, or a rel
• ated field.Master’s degree
• is a plus.Or, any combination of education and experience which would provide the required qualifications for th

e position.
Experien

• ce Required:12+ years of hands-on experience in data modeling, data architecture, or information architecture with a focus on large-scale data
• warehouses.10+ years of experience with dimensional models and relational database management systems (SQL Server, Oracle,
• DB2, etc.).5+ years of proven experience with modern data architectures and cloud technologies, especially AWS service
• s and tools.Experience with ETL tools and automation (e.g., Fiv
• etran, DBT).Experience with data governance, data quality frameworks, and metadata

managemen

• t.
  Preferred:Experience in healthcare data modeling and data
• warehousing.Expertise in AWS
• environments.Hands-on experience with data integration and cloud auto

mation tools.
License/Certifica

• tion Required:Certifications in Data Architecture, Cloud Technologies, or related ar

eas is a plus.
Knowledge, Skills &

• amp; 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. Understanding of healthcare-specific standards (FHIR, HL7, ICD-10, LOINC, etc.), data governance, regulatory frameworks, and security compliance (e.g., HIPAA). Familiarity with business intelligence tools (e.g., Sigma Comput
• ing) preferred.Skill in: Excellent communication skills to engage with both technical and non-technical stakeholders. Strong analytical and problem-solving skills to design scalable and efficie
• nt 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 junio

r team members. Click on Apply to know more.