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About the Role

Lead the design and transformation of enterprise data models to support scalable, high-performance analytics and reporting solutions. Analyze existing data models on SQL Server and guide the development of optimized structures on Snowflake, ensuring alignment with business requirements and enterprise standards. Collaborate with Business Analysts and cross-functional teams to translate complex reporting and analytics needs into efficient, well-governed data models. Identify gaps, drive improvements, and implement best practices in dimensional modeling, normalization, and metadata management. Contribute to architecture reviews, mentor junior data modelers, and support data governance initiatives. Enable the organization to build a robust foundation for analytics, improve data quality, and support strategic decision-making.

Responsibilities

Analyze and document the current data model in SQL Server for customer data and analytics.
Design and implement new data models or modify existing ones for Snowflake.
Ensure models adhere to best practices for normalization, performance, and scalability.
Collaborate with data engineering teams to implement models effectively.
Work closely with Business Analysts to understand business requirements.
Translate functional requirements into logical and physical data models.
Provide impact analysis for changes to existing models and propose efficient solutions.
Apply knowledge of Insurance domain, including specialized products, London Market practices, and regulatory/compliance data requirements.
Ensure data models align with industry standards and regulatory guidelines.

Requirements

5+ years of experience in data modeling and database design.
Strong expertise in SQL Server and Snowflake data modeling.
Proficiency in SQL for data analysis and validation.
Experience in data architecture principles and data governance.
Solid understanding of Insurance domain concepts (Specialized Insurance, London Market, Regulatory Data).
Excellent communication and stakeholder management skills.
Experience with ETL tools and data integration processes.
Familiarity with data warehousing concepts and cloud data platforms.
Exposure to Fivetran, SSIS, or Snowflake advanced features.

Skills

Snowflake
SQL Server
PostgreSQL
Data Warehousing
Data Lake
Medallion
Data Vault
Data Fabric
Semantic modelling
SQL

Location

London, UK

Work Type

Full-time

Experience Level

5+ years

About the Company

Infosys is a global leader in next-generation digital services and consulting.
We enable clients in 59 countries to navigate their digital transformation.
With over four decades of experience in managing the systems and workings of global enterprises, we expertly steer clients, in 59 countries, as they navigate their digital transformation powered by cloud and AI.
We enable them with an AI-first core, empower the business with agile digital at scale and drive continuous improvement with always-on learning through the transfer of digital skills, expertise, and ideas from our innovation ecosystem.
We are deeply committed to being a well-governed, environmentally sustainable organization where diverse talent thrives in an inclusive workplace.

Equal Opportunity

All aspects of employment at Infosys are based on merit, competence and performance.
We are committed to embracing diversity and creating an inclusive environment for all employees.
Infosys is proud to be an equal opportunity employer.