Lead Data Platform Architect

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.

Responsibilities

• 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
• 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 The Lead Data Platform Architect is instrumental in delivering scalable, repeatable and agile data and platform architectures to unlock and drive business value across Finance, Commercial, R&D, MGS Labs and Innovation: STRATEGIC PARTNERSHIPS · Collaborates closely with leaders across MGS functions and Enterprise Analytics to align data and platform architectures and initiatives with core business objectives and co-create strategic priorities.
• NAVIGATING COMPLEXITY WITH OWNERSHIP · Operates with a high level of autonomy, navigating ambiguity and organisational complexity through a results-driven and proactive approach.

Requirements

• Previous experience as a Senior Data or Platform Architect essential Proven experience as a senior data or platform architect, or similar leadership role in data & platform strategy.
• Strong background in data modelling, architecture frameworks, and modern data integration methods.
• Deep understanding of cloud-based data platforms (Azure) and tools (Databricks, SQL, ADF etc) as well as analytics solutions.
• Excellent stakeholder management and communication skills, with the ability to influence and align across business and technology functions.
• Experience building and evolving data & platform architectures that scale and adapt to changing business needs.
• Passion for coaching and enabling others with a collaborative leadership approach.
• Knowledgeable in Data Source systems (eg.
• SAP) and Data Lake technology
• Stakeholder management and communication skills
• Strong interpersonal skills

Fluent in writing and speaking

• Previous experience in CPG industry would be ideal Experience at operating in a complex global matrix organisation Experience at collaborating with cross-functional partners
• High drive for results and an ability to work with minimum input #TBdigital

TRUSTED PARTNER & PROGRAM DISCIPLINE · Acts as an organisational authority for the Enterprise Analytics Data Platform, serving as a dependable single point of contact for all related matters.