Detalhes do trabalho
Local de trabalho
London
Estado/Região/Província
London
País
United Kingdom
Domínio
Delivery
Grupo de interesse
Infosys Limited
Empresa
ITL UK
ID da requisição
140456BR
Descrição do trabalho
Role – Technology Architect
Technology – Snowflake, SQL Server, Power BI, Azure, Confluent
Location – UK
Business Unit – DNAINS
Compensation – Competitive (including bonus)
Job Description
We are seeking a seasoned Platform Lead to architect and manage enterprise data platforms across cloud and on-prem environments. The role demands deep expertise in Snowflake, SQL Server, Power BI, Azure, and Confluent technologies. You will lead platform strategy, administration, and integration to support scalable analytics and data engineering solutions. Responsibilities include performance optimization, governance, automation, and enabling secure, reliable data flows. This role requires strong leadership, cross-functional collaboration, and hands-on technical proficiency.
Your role
As a Platform Lead, you will be responsible for architecting, managing, and optimizing enterprise data and analytics platforms across cloud and on-prem environments. You will lead platform strategy and operations for technologies including Snowflake, SQL Server, Power BI, Azure, and Confluent, ensuring high availability, performance, and scalability.
You will collaborate with cross-functional teams to design and implement platform solutions that support data engineering, analytics, and business intelligence initiatives. Your role will involve hands-on administration, automation, monitoring, and governance of platform components, while also driving integration across data pipelines, storage layers, and visualization tools.
As a senior leader, you will guide platform modernization efforts, enforce security and compliance standards, and support DevOps/DataOps practices. You will participate in architecture reviews, mentor platform engineers, and contribute to building capability across the organization.
Your work will enable seamless data flow, empower analytics teams, and support strategic decision-making by ensuring a robust, secure, and scalable data platform foundation.
Responsibilities