Lead Data Platform Architect
Lead the definition and execution of data architecture strategies across multiple business domains and data platforms.
- Warsaw, Masovian, Poland
- Posted Nov 5, 2026
INDUSTRYSoftware & InternetData & Analytics
Responsibilities
- 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.
- 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.
- Lead decisioning on tooling, modelling, and patterns.
- 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.
- Collaborate closely with data engineers, solution architects, data scientists, and other team members.
- Maintain effective communication with the Enterprise Data & Platform Director.
- 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.
- 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.
- Collaborate 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.
- Operate with a high level of autonomy, navigating ambiguity and organisational complexity through a results-driven and proactive approach.
Requirements
Nice to have: CPG industry experience
Skills
data modellingarchitecture frameworkscloud-based data platformsAzureDatabricksSQLADFAzureDatabricksSQLADF
Full description
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