Manager - Data Platform Architect

Role Overview: As a Manager - Data Platform Architect at our company, you will play a strategic role in designing, securing, and scaling our global data ecosystem, the Diageo Data Hub (DDH). Your deep expertise in cloud architecture, data frameworks, and security design will be crucial in building a trusted, high-quality, and compliant data platform that powers analytics, AI, and decision-making across markets. Key Responsibilities: - Design and evolve the global data platform architecture (Azure + Databricks + Unity Catalog + Power BI), ensuring scalability, performance, and cost efficiency. - Define cloud architecture standards across compute, storage, and networking layers, leveraging Azure best practices. - Collaborate with enterprise architects to ensure platform alignment with cloud-native and hybrid models. - Define and implement security architecture for data assets covering data encryption, access control, identity management, and data masking. - Work closely with information security and compliance teams to ensure adherence to GDPR, data privacy, and internal data classification standards. - Design and drive adoption of reusable frameworks for data ingestion, transformation, quality, and observability. - Establish platform accelerators for data quality rules, data contracts, monitoring, and alerting. - Lead modernization and automation initiatives using CI/CD pipelines, infrastructure-as-code, and metadata-driven orchestration. - Review and approve solution designs from engineering teams, ensuring adherence to architectural guardrails and platform standards. - Partner with data governance, DevOps, and security teams to strengthen data trust, observability, and automation. - Research and pilot emerging technologies to enhance data democratization and self-service analytics. Qualifications Required: - Proven experience with Azure Data Platform components such as ADLS, Databricks, Key Vault, ADF, etc. - Strong understanding of data engineering principles, orchestration tools, and data mesh architecture. - Proficiency in Python, SQL, and Spark for framework or proof-of-concept development. - Deep understanding of cloud and security architecture patterns including encryption, RBAC, network security, etc. - Strong communication and stakeholder management abilities across technical and business teams. - Strategic thinker with a pragmatic approach to platform evolution. (Note: Additional details about the company were not provided in the job description),