Snowflake Data Modeler

2 weeks ago

Bengaluru, Karnataka, India Tietoevry Full time
We are seeking an experienced and detail-oriented Senior Data Modeler to lead the design and development of enterprise-grade data models for a modern cloud data platform built on Snowflake and Azure.

The ideal candidate will have a strong foundation in data modeling best practices, hands-on experience with Medallion Architecture (Bronze, Silver, Gold layers), and a solid understanding of banking and financial services data.

This is a key role responsible for ensuring data structures are scalable, reusable, and aligned with business and regulatory requirements.

Pre-requisites8+ years of experience in data modeling, data architecture, or data engineering roles.4+ years of experience modeling data in Snowflake or other cloud data warehouses.

Strong understanding and hands-on experience with Medallion Architecture and modern data platform design.

Experience using data modeling tools (Erwin etc.).

Proficiency in data modeling techniques: 3 NF, dimensional modeling, data vault, and star/snowflake schemas.

Expert-level SQL and experience working with semi-structured data (JSON, XML).

Familiarity with Azure data services (ADF, ADLS, Synapse, Purview)Key Responsibilities Design, develop, and maintain data models that meet data processing, analytics, and reporting needs, with a specific focus on Snowflake data warehousing.

Lead the design and implementation of logical, physical, and canonical data models across enterprise data domains in Snowflake.

Architect data models for bronze, silver, and gold layers as per the Medallion Architecture, ensuring performance, modularity, and reusability.

Collaborate with data architects, engineers, and business analysts to translate business needs into scalable data models.

Drive data model governance, including standards, documentation, versioning, and review processes.

Conduct data profiling and gap analysis between source systems and target models.

Participate in data integration efforts by providing source-to-target mappings and defining transformation rules.

Build data model to support time travel kind of reporting Ensure compliance with data governance, data quality, and data security requirements.

Build models to support operational & analytical reports

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