Data Modeler

Role Overview Nextlink is seeking an experienced Senior Data Modeler with strong expertise in Databricks and Data Vault 2.0 to design, develop, and implement scalable, high-performance data models within a modern lakehouse architecture. The ideal candidate will have extensive experience in enterprise data modeling, advanced SQL, data architecture, and data governance, preferably within the Insurance or Financial Services domain.

Key Responsibilities

Design and implement enterprise data models using Data Vault 2.0 principles and best practices. Develop and maintain scalable data models on the Databricks Lakehouse platform, leveraging Delta Lake and Unity Catalog. Design and implement dimensional data models, including Star and Snowflake schemas. Create and optimize Bronze, Silver, and Gold data models following the Medallion Architecture.

Write, optimize, and troubleshoot complex SQL queries to support data transformation and processing requirements. Establish and maintain metadata management, data lineage, data quality, and governance standards. Collaborate with data architects, engineers, business stakeholders, and other technical teams to translate business requirements into effective data models.

Ensure data models are scalable, reliable, maintainable, and aligned with enterprise data architecture standards. Use data modeling tools to design, document, and maintain conceptual, logical, and physical data models.

Requirements

Essential Skills and Qualifications 10+ years of experience in data modeling and data architecture. Strong hands-on experience in Data Vault 2.0 implementation. Extensive experience with Databricks, Lakehouse, Delta Lake, and Unity Catalog. Strong expertise in dimensional modeling, including Star and Snowflake schemas.

Advanced SQL skills, including query optimization and performance tuning. Hands-on experience designing and implementing Bronze, Silver, and Gold data models. Strong understanding of metadata management, data lineage, data governance, and data quality. Experience in the Insurance or Financial Services domain. Hands-on experience with data modeling tools such as ERwin, SQLDBM, and ER/Studio.

Working knowledge of Microsoft SQL Server 2019. Desirable Skills Experience in enterprise-scale data platform implementations. Knowledge of data architecture best practices and modern data engineering principles. Experience implementing data governance and metadata management frameworks. Job Details Job Title: Senior Data Modeler – Data bricks Experience Required: 10+ years Primary Skills: Databricks, Data Vault 2.

0, Data Architecture, Data Modeling, Microsoft SQL Server 2019 Work Locations: Trivandrum, Chennai, Bangalore, Kochi