IT Data Infrastructure Architect – VP

Overview

In this role you will lead the design and governance of enterprise-scale data platforms to enable trusted, secure analytics and AI-driven solutions. You will influence data architecture standards across the organization and partner with data offices, architects, and engineering teams to modernize data infrastructure. You’ll drive cloud adoption, data quality, and governance in regulated environments, shaping scalable, resilient data platforms. This role offers impact through strategic guidance and cross-functional collaboration within a global firm.

Pay / Benefits

• flexible working arrangements
• competitive benefits and perks

Responsibilities

• Develop and execute data infrastructure architecture strategies and roadmaps for enterprise IT initiatives
• Act as Divisional Data Officer driving data architecture & governance in collaboration with Firmwide Data Office
• Collaborate with SME teams to scale data lakes and warehouses across on-prem, cloud, and hybrid environments
• Implement semantic layers for governed data views supporting self-service analytics and explainable AI
• Oversee data quality and enforce standards to minimize duplication and ensure trusted data
• Recommend and implement cloud-native solutions for scalability, resilience, and continuity
• Drive modernization of infrastructure through cloud adoption, automation, and software-defined technologies
• Conduct architecture reviews ensuring regulatory, security, and enterprise standards alignment
• Maintain reference architectures, policies, and best practices for data infrastructure
• Promote architectural best practices and influence technical decisions with cross-functional teams
• Provide technical leadership to engineering and operations teams

Key requirements

• 7+ years in IT data infrastructure within large, regulated enterprises
• Proven experience in data architecture and modernization initiatives
• Strong understanding of data security and compliance in financial services
• Excellent communication, problem-solving, and stakeholder management skills

• influence in complex environments
• leadership in cross-functional teams
• strong analytical and strategic thinking
• Data Platforms: data lakes, data warehouses
• Databases: SQL, PostgreSQL; MongoDB; Snowflake; Databricks; Redshift
• Semantic Layer design for governed data views

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