Data Modeller

GSPANN; Hyderabad, Pune District, Gurugram District; Hybrid; INR 2,500,000 - 4,000,000; Full time

Job summary

GSPANN Technologies is seeking an experienced Senior Data Modeler to join our Data & Analytics team in India and drive enterprise-scale data architecture initiatives.

Location flexibility spans major tech hubs; you will design conceptual, logical and physical data models and collaborate with business and engineering teams.

The role requires 8+ years of experience, strong SQL, data governance, and skills with Azure, Snowflake or Databricks to enable data warehousing, analytics, and cloud migration.

Qualifications

• 8+ years of experience in data modeling and data architecture.
• Experience with enterprise data warehousing and cloud migration.
• Strong SQL and database design skills, with data governance awareness.

Responsibilities

• Design enterprise-wide conceptual, logical, and physical data models.
• Collaborate with business and technical stakeholders to define data requirements.
• Ensure data models align with governance standards and business goals.
• Support data warehouse, reporting, analytics, and cloud migration initiatives.
• Optimize data structures for performance, scalability, and maintainability.
• Drive data consistency, quality, and standardization across platforms.

Skills

Data Modeling

Dimensional Modeling

Data Warehousing

SQL & DB Design

Data Governance

Cloud Data Platform

Data Modeling Tools

Metadata Management

Analytical Skills

Job description

GSPANN Technologies is looking for an experienced Senior Data Modeler to join our Data & Analytics team and drive enterprise-scale data architecture initiatives.

Location: Pune / Bangalore / Hyderabad / Gurugram

Experience: 8+ Years

Required Skills:

• Data Modeling (Conceptual, Logical & Physical)
• Dimensional Modeling (Star & Snowflake Schemas)
• Data Warehousing Concepts
• SQL & Database Design
• Data Governance & Data Quality
• Azure Data Platform / Snowflake / Databricks
• ER Studio, Erwin, or Similar Data Modeling Tools
• Metadata Management & Data Lineage
• Strong Analytical and Problem-Solving Skills

Key Responsibilities:

• Design and maintain enterprise-wide conceptual, logical, and physical data models.
• Collaborate with business and technical stakeholders to define data requirements.
• Ensure data models align with business goals, governance standards, and best practices.
• Support data warehouse, reporting, analytics, and cloud migration initiatives.
• Optimize data structures for performance, scalability, and maintainability.
• Drive data consistency, quality, and standardization across platforms.