• Own the continuity and evolution of OrderYOYO’s modern data platform during a critical scaling phase. • Lead the migration from legacy reporting and metric tooling into a governed Microsoft Fabric platform. • Keep business-critical BI and semantic models reliable. • Improve data pipeline stability and monitoring. • Support CRM data integration. • Provide senior technical leadership for data engineering delivery. • Lead hands-on Microsoft Fabric architecture across lakehouse, warehouse, notebooks, semantic models, Git-backed delivery and production governance. • Drive migration from legacy reporting and metric tooling into a governed Fabric semantic layer, including parity testing, stakeholder sign-off and safe decommissioning. • Own and improve data pipelines across APIs, files, events and operational stores; establish robust orchestration, monitoring, alerting, data-quality checks and incident response. • Design high-quality Power BI semantic models, DAX measures and reusable metric definitions for leadership, finance, commercial, product, marketing, payments and support reporting. • Support CRM and operational data integrations, including outbound data feeds, identity mapping, schema mapping, reverse-ETL patterns and monitoring. • Create reliable ingestion and modelling patterns for acquired businesses, so future integrations are repeatable, auditable and faster to execute. • Set data-engineering standards: definition of ready/done, code review, release discipline, documentation, runbooks and platform change governance. • Mentor engineers and analysts and translate business-critical data needs into pragmatic technical delivery.

• Own the continuity and evolution of OrderYOYO’s modern data platform during a critical scaling phase. • Lead the migration from legacy reporting and metric tooling into a governed Microsoft Fabric platform. • Keep business-critical BI and semantic models reliable. • Improve data pipeline stability and monitoring. • Support CRM data integration. • Provide senior technical leadership for data engineering delivery. • Design high-quality Power BI semantic models, DAX measures and reusable metric definitions for leadership, finance, commercial, product, marketing, payments and support reporting. • Create reliable ingestion and modelling patterns for acquired businesses, so future integrations are repeatable, auditable and faster to execute. • Mentor engineers and analysts and translate business-critical data needs into pragmatic technical delivery.

• Own the continuity and evolution of OrderYOYO’s modern data platform during a critical scaling phase. • Lead hands-on Microsoft Fabric architecture across lakehouse, warehouse, notebooks, semantic models, Git-backed delivery and production governance. • Drive migration from legacy reporting and metric tooling into a governed Fabric semantic layer, including parity testing, stakeholder sign-off and safe decommissioning. • Own and improve data pipelines across APIs, files, events and operational stores; establish robust orchestration, monitoring, alerting, data-quality checks and incident response. • Design high-quality Power BI semantic models, DAX measures and reusable metric definitions for leadership, finance, commercial, product, marketing, payments and support reporting. • Support CRM and operational data integrations, including outbound data feeds, identity mapping, schema mapping, reverse-ETL patterns and monitoring. • Create reliable ingestion and modelling patterns for acquired businesses, so future integrations are repeatable, auditable and faster to execute. • Set data-engineering standards: definition of ready/done, code review, release discipline, documentation, runbooks and platform change governance. • Mentor engineers and analysts and translate business-critical data needs into pragmatic technical delivery.

• Lead and grow a team of AI-native engineers responsible for Platform’s multi-cloud foundation across GCP and AWS, our security posture, and the developer platform that thousands of Spotify engineers depend on every day. • Define the technical vision for our cloud platform, and make the architectural calls that shape how the rest of R&D builds, ships, and operates. • Own the security and compliance posture of the developer platform end-to-end, ensuring secure-by-default outcomes for every team building on top of us. • Drive the evolution of our developer tooling stack (CI/CD, build systems, deployment, observability) so engineers ship safely and quickly along golden paths instead of bespoke setups. • Bring AI-native capabilities into platform operations, integrating LLM and agent-based automation into infrastructure changes, security remediation, and developer workflows. • Partner with product, go-to-market, and engineering teams to bring our capabilities to market, shaping how the broader industry manages cloud, security, and tooling on top of Portal. • Set and enforce production-grade standards for reliability, performance, and cost-efficiency across services operating at Spotify scale. • Build a team culture grounded in curiosity, technical rigor, and continuous learning in emerging AI systems.