We are seeking a Data Modeler to design and implement scalable, enterprise-grade data models for an insurance client building a modern cloud-based data platform. The role focuses on structuring data across Raw, Silver, and Gold layers to support batch and real-time ingestion, enable efficient reporting, and drive report rationalization initiatives. The ideal candidate will have strong expertise in data modeling (conceptual, logical, physical) and experience working with Snowflake, DBT, and modern data pipelines (AWS Glue, Amazon Kinesis).

Key Responsibilities

Data Modeling & Architecture Design conceptual, logical, and physical data models aligned to business needs and insurance domain standards Define and implement models across medallion architecture (Raw, Silver, Gold layers) Create scalable and reusable data structures optimized for analytics and reporting Data Transformation & Layer Design Collaborate with data engineering teams to implement models using DBT Design transformation logic to move data across Raw → Silver → Gold layers Ensure consistent data definitions, hierarchies, and business rules Insurance Domain Data Structuring Model data for core insurance functions such as: Policy Claims Billing Customer / Party Align data models with industry standards and reporting requirements Data Integration Alignment Work closely with engineers handling: Batch ingestion via AWS Glue Real-time streaming via Amazon Kinesis Ensure models support multi-source data ingestion and harmonization Reporting & Rationalization Support Design optimized Gold layer datasets for reporting and self-service analytics (Power BI) Support report rationalization initiatives by standardizing and consolidating data models Enable consistent KPI definitions across reports Data Quality & Governance Define data standards, naming conventions, and metadata structures Ensure data consistency, lineage, and traceability across layers Support governance, audit, and reconciliation requirements Performance & Optimization Design models with a focus on query performance and scalability Work with engineering teams to optimize pipelines and data structures Apply best practices for partitioning, clustering, and efficient joins in Snowflake Required Skills & Experience Core Technical Skills Strong expertise in: Data Modeling (Dimensional, 3NF, Data Vault – preferred) Snowflake (schema design, performance considerations) DBT (model structuring and transformation logic) Advanced proficiency in SQL Understanding of medallion architecture (Raw, Silver, Gold layers) Data Platform & Integration Familiarity with: AWS Glue (batch data pipelines) Amazon Kinesis (real-time streaming) Experience designing models for multi-source integrated data platforms Analytics & Reporting Understanding of data consumption patterns for reporting and analytics Domain Expertise (Must) Strong understanding of Insurance domain data models (Policy, Claims, Billing, Underwriting) Exposure to enterprise data platforms in insurance organizations Experience 5–10 years of experience in Data Modeling / Data Architecture Experience in cloud-based data platforms and modern data stack At Zensar, we’re “experience-led everything”. We are committed to conceptualizing, designing, engineering, marketing, and managing digital solutions and experiences for over 130 leading enterprises. We are a company driven by a bold purpose: Together, we shape experiences for better futures. Whether for our clients, our people, or the world around us, this belief powers everything we do. At the heart of our culture is ONE with Client - a set of four core values that reflect who we are and how we work: One Zensar, Nurturing, Empowering, and Client Focus. Part of the $4.8 billion RPG Group, we’re a community of 10,000+ innovators across 30+ global locations, including Milpitas, Seattle, Princeton, Cape Town, London, Zurich, Singapore, and Mexico City. Explore Life at Zensar and join us to Grow. Own. Achieve. Learn. to be the best version of yourself. We believe the best work happens when individuality is celebrated, growth is encouraged, and well-being is prioritized. We are an equal employment opportunity (EEO) and affirmative action employer, committed to creating an inclusive workplace. All qualified applicants will be considered without regard to race, creed, color, ancestry, religion, sex, national origin, citizenship, age, sexual orientation, gender identity, disability, marital status, family medical leave status, or protected veteran status.