Manager - Data Engineering

Lead Architect - Data Platform Engineering Google Cloud | Data Mesh | Enterprise Data Architecture | BigQuery About the Role Are you a senior Data Engineering leader who has built enterprise-scale data platforms on Google Cloud We are looking for a Lead Architect - Data Platform Engineering to shape and deliver a modern, scalable, cloud-native data platform on Google Cloud Platform (GCP) . This role is ideal for an experienced architect who can combine hands-on technical depth with strategic thinking, enterprise architecture, and stakeholder leadership. You will lead the design and implementation of a future-ready data platform, drive Data Mesh adoption , build enterprise-grade data products , and enable trusted, self-service analytics for business teams across global domains. What You'll Lead Enterprise Data Platform Architecture Architect scalable, reusable, and standardized data platform capabilities on Google Cloud to support multiple business units and enterprise analytics needs. Data Mesh Implementation Drive domain-oriented data ownership, decentralized governance, and platform-led enablement for Data Mesh adoption across the organization. Medallion Architecture Data Products Lead the design of Bronze, Silver, and Gold data layers, with strong ownership of optimized Gold-layer Fact and Dimension models for BI, analytics, and downstream consumption. BigQuery-Centric Analytics Engineering Design high-performance BigQuery solutions using partitioning, clustering, workload optimization, cost controls, and query performance tuning. Enterprise Data Pipelines Architect resilient, incremental, and scalable data pipelines integrating complex enterprise and financial domain systems with high accuracy and reliability. Semantic Layer Self-Service Analytics Build semantic models and reusable data products that enable trusted reporting, executive dashboards, and AI-ready data foundations. Governance, Quality Observability Embed data governance, automated quality checks, lineage, monitoring, and observability into the platform to ensure trust, compliance, and reliability by design. Strategic Stakeholder Partnership Work closely with Domain SMEs, business leaders, engineering teams, and delivery stakeholders to translate business priorities into scalable data architecture. Why This Role Lead enterprise-scale cloud data architecture. Work on modern GCP-native data engineering platforms. Shape Data Mesh and data product adoption. Build trusted analytics foundations for business decision-making. Collaborate with strong engineering, domain, and analytics teams. Drive real business impact through scalable data solutions. Disclaimer : This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.