Enter a job title or keyword
Data Modeler
Job Location:
Monthly Salary:
Posted:
14 June 2026 (30+ days ago)
Posted:
Application Deadline:
11 September 2026
Application Deadline:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Role Overview
We are seeking a Data Modeler to design develop and maintain highquality conceptual logical and physical data models that support analytics reporting AI/ML and GenAI use cases. This role partners closely with data engineers governance teams analytics and business stakeholders to ensure data structures are scalable performant governed and aligned with business semantics across AWS and Azure data platforms.
Key Responsibilities
Data Modeling & Design
Design and maintain conceptual logical and physical data models to support enterprise analytics reporting and AI use cases.
Develop dimensional relational and hybrid models (e.g. star snowflake data vault where applicable).
Translate business requirements into wellstructured reusable data models.
Ensure data models support both batch and nearrealtime use cases.
Cloud Data Platforms & Analytics
Design data models optimized for Snowflake including performance scalability and cost efficiency.
Partner with data engineering teams to implement models in Databricks (Spark) environments.
Support cloud data storage solutions such as S3 and ADLS Gen2.
Ensure models align with analytics and BI consumption patterns.
Data Integration & Transformation Alignment
Collaborate with data engineers to ensure data pipelines correctly populate and maintain models.
Define sourcetotarget mappings and transformation logic.
Ensure consistency of data definitions across source systems and downstream consumers.
AI / ML & Advanced Analytics Enablement
Design data and feature models that support ML and GenAI workloads using SageMaker and Amazon Bedrock.
Partner with data scientists to ensure feature usability consistency and lineage.
Enable explainability traceability and reuse of data assets for AI initiatives.
Data Governance & Quality
Work closely with data governance teams to align models with:
Business glossaries
Metadata and lineage standards
Data quality rules and validation checks
Ensure models reflect data ownership domain boundaries and stewardship responsibilities.
Documentation & Standards
Maintain comprehensive documentation for data models definitions and relationships.
Contribute to modeling standards best practices and design guidelines.
Support impact analysis for changes to data structures.
Collaboration & Stakeholder Engagement
Engage with business users analysts and product owners to validate data requirements.
Support analytics and reporting teams in understanding and using data models effectively.
Act as a subject matter expert for enterprise data structures.
Required Skills & Experience
Technical Skills
- Strong expertise in data modeling concepts (conceptual logical physical).
- Proficiency in SQL; familiarity with Python is a plus.
- Handson experience with Snowflake data modeling and performance optimization.
- Experience working with Databricks / Sparkbased data platforms.
- Understanding of cloud data architectures on AWS and/or Azure.
- Familiarity with data integration ETL/ELT processes and analytics workloads.
- Understanding of data needs for AI/ML and GenAI platforms (SageMaker Bedrock).
Soft Skills
- Strong analytical and problemsolving skills.
- Ability to translate complex business concepts into clear data structures.
- Excellent communication skills with both technical and nontechnical stakeholders.
- Detailoriented with a focus on data consistency and usability.
Education Requirements
Bachelors degree in Computer Science Information Systems Data Management Engineering or a related field.
Masters degree is a plus.
Experience Requirements
5 years of experience in data modeling analytics engineering or related roles.
3 years supporting enterprisescale data platforms in cloud environments.
Experience modeling data for analytics reporting and AI use cases.
Preferred Qualifications
Experience in regulated industries (e.g. healthcare life sciences finance).
Familiarity with data governance metadata and lineage tools.
Experience with large complex data ecosystems and multidomain modeling.
Exposure to realtime or eventdriven architectures.
About Company
Improve lives with a career at Fresenius Medical Care. Join a global leader in dialysis care and innovative health solutions.
