GCP Data Architect

GCP Data Arhcitect, you will lead enterprise-scale cloud data transformation programs, define cloud and data platform strategies, drive architecture governance, and oversee delivery of modern data, analytics, AI/ML, and Generative AI solutions on Google Cloud Platform (GCP). You will partner with executive stakeholders, business leaders, solution architects, and engineering teams to deliver scalable, secure, and high-impact cloud solutions while building and growing high-performing teams.

Define and drive enterprise cloud data and analytics strategy leveraging Google Cloud Platform (GCP)

. Lead architecture, design, and delivery of large-scale cloud-native data platforms, lakehouses, data warehouses, and AI-enabled data ecosystems

. Own end-to-end cloud transformation engagements including migration, modernization, optimization, governance, and operational excellence initiatives

. Provide executive-level technology leadership across Data Engineering, Advanced Analytics, AI/ML, and Generative AI programs

. Establish architecture standards, design frameworks, reference architectures, and best practices across cloud data platforms

. Lead solution architecture reviews and ensure alignment with scalability, reliability, security, compliance, and cost optimization objectives

. Drive adoption of modern GCP services including BigQuery, Dataflow, Dataproc, Pub/Sub, Cloud Composer, BigLake, Vertex AI, Cloud Run, and Cloud Storage

. Partner with business stakeholders and clients to define technology roadmaps and translate strategic objectives into scalable technical solutions

. Lead multiple delivery teams and large transformation programs while ensuring quality, predictability, and customer success

. Drive innovation initiatives leveraging AI/ML, Generative AI, MLOps, and intelligent automation capabilities

. Establish governance models covering data quality, metadata management, lineage, security, privacy, and regulatory compliance

. Lead cloud cost management, platform optimization, capacity planning, and FinOps initiatives

. Drive adoption of DevOps, DataOps, CI/CD, Infrastructure as Code (IaC), automation, and platform engineering best practices

. Collaborate with sales, pre-sales, and account leadership teams to support solutioning, proposals, client presentations, and business development opportunities

. Build and mentor high-performing teams of architects, engineering managers, and senior data engineers

. Provide thought leadership on emerging cloud technologies, modern data architectures, AI platforms, and industry best practices

. Serve as a trusted advisor to executive stakeholders and clients on cloud, data, and AI transformation journeys