Data Modeler
On-site · Bengaluru, Karnataka, India
Job Summary
Data Modeler to design, develop, and maintain high-quality conceptual, logical, and physical data models supporting analytics, reporting, AI/ML, and GenAI across AWS and Azure data platforms. Design dimensional, relational, and hybrid models; translate business requirements into reusable models; ensure support for batch and near-real-time use cases. Optimize Snowflake models, collaborate with data engineers to implement in Databricks/Spark, and support storage solutions (S3, ADLS Gen2). Align models with analytics/BI patterns, define source-to-target mappings, and enable feature usability and lineage for AI initiatives (SageMaker, Bedrock). Partner with governance teams for metadata, lineage, and data quality; maintain documentation and standards; engage with stakeholders to validate data requirements and promote usability for analytics teams.
Required Qualifications
- Bachelor’s degree in Computer Science, Information Systems, Data Management, Engineering, or a related field
- 5+ years of experience in data modeling, analytics engineering, or related roles
- 3+ years supporting enterprise-scale data platforms in cloud environments
- Experience modeling data for analytics, reporting, and AI use cases
- Strong expertise in data modeling concepts (conceptual, logical, physical)
- Proficiency in SQL; familiarity with Python is a plus
- Hands-on experience with Snowflake data modeling and performance optimization
- Experience working with Databricks / Spark-based 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)
- EducationRequirements Bachelor’s degree in Computer Science, Information Systems, Data Management, Engineering, or a related field
- Experience Requirements 5+ years of experience in data modeling, analytics engineering, or related roles
- 3+ years supporting enterprise-scale 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 multi-domain modeling
- Exposure to real-time or event-driven architectures
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