As the Lead Data Platform Architect in the Enterprise Data & Platform team, your key responsibilities are as follows:

TECHNICAL PROFICIENCY AND LEADERSHIP

• Lead the definition and execution of data architecture strategies across multiple business domains and data platforms.
• Drive the development of scalable, integrated data models and architectures across raw, trusted, and harmonized zones.
• Define and execute the data product strategy for assigned business areas in collaboration with analytics and business teams.
• Act as a thought leader and trusted advisor, supporting teams in understanding business objectives, data requirements, processes, and enabling technologies.
• Ensure all data architecture efforts are aligned with the broader business vision and strategic priorities and provide architectural oversight across delivery initiatives.
• Collaborate with other data architects to ensure consistent and integrated use of data assets across the organization.
• Identify cross-segment and cross-function data dependencies or issues and lead resolution efforts.
• Provide strategic guidance on data domains, process analysis, data analysis, and modelling techniques.
• Mentor and coach solution / data architects and engineers to build internal data architecture capability.
• Advocate for best practices, tools, and methods related to data architecture.
• Ensure understanding and compliance of data protection policies, security policies, and GDPR

DELIVERABLE INVOLVEMENT & OWNERSHIP

• Reference Architectures: Own and maintain reusable architectural patterns
• High-Level Designs (HLDs): Review and approve HLDs from Solution Architects and 3rd parties
• Key Design Decisions (KDDs): Own and govern major architectural decisions for alignment with the Architecture Review Board and beyond
• Architecture Option Assessments: Lead decisioning on tooling, modelling, and patterns

DATA & PLATFORM ARCHITECTURE OWNERSHIP

• Develop and maintain current and future state data architectures, models, and roadmaps.
• Promote awareness and understanding of data architectures across the organization.
• Review and validate high-level models and reference architecture libraries
• Approve changes to shared or enterprise-wide data models

LEARNING & GROWTH

• Collaborate with the team to learn and apply the best practices in data architecture.
• Actively participate in projects, gaining experience in developing high-quality, scalable, and sustainable data solutions.
• Stay updated with emerging technologies and trends in data architecture, contributing to the team's knowledge base by sharing insights and ideas.
• Guide the development of data solutions within the Enterprise Analytics data platform as the senior team member.
• Support the maintenance of a semantic and intelligent data layer to contribute to the comprehensive leadership of the data solution within the environment and for consumption by analytical and AI solutions

COLLABORATION & COMMUNICATION

• Collaborate closely with data engineers, solution architects, data scientists, and other team members
• Maintain effective communication with the Enterprise Data & Platform Director, actively participating in team discussions and sharing ideas to improve platform excellence.

Context