Director, Google Cloud Data Architect

Job Summary :

We are seeking a Senior Google Cloud Data Architect to lead the design, optimization, and strategy of enterprise data solutions for CME on the Google Cloud Platform (GCP). This role requires a deep understanding of the end-to-end data ecosystem, including operational and analytical stores, AI / ML integration, data lifecycle management, compliance, cost optimization, and modern cloud-native tools. The ideal candidate will provide technical leadership and ensure alignment between data strategies and business objectives.

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This is a hybrid job and will require being in the office a minimum of 2 days a week.

Key Responsibilities :

• Design and oversee enterprise-scale data architectures leveraging GCP services such as BigQuery, Dataflow, Cloud Storage, and Pub / Sub, Vertex AI, etc., ensuring performance, scalability, and security.
• Provide strategic guidance on cloud-native tools and workflows, with familiarity in Kubernetes, Terraform, Kubernetes Configuration Controller (KCC), Argo Workflows, and CICD frameworks.
• Collaborate with cross-functional teams to integrate data workflows with operational and analytical stores, ensuring system interoperability and reliability.
• Design and implement AI / ML pipelines, integrating advanced analytics into the data ecosystem for predictive and prescriptive insights.
• Assess and adopt new GCP services and modern technologies to enhance the organization's data capabilities and future-proof the architecture.
• Develop and enforce strategies for data lifecycle management, including retention, archival, and disposal, ensuring compliance with governance and regulatory standards. Full understanding of data catalog.
• Lead cost optimization initiatives to maximize resource efficiency and eliminate waste across the data platform.
• Establish and promote best practices for data quality, metadata management, lineage tracking, and security, ensuring robust data governance.
• Support teams in implementing coding best practices using Python, Java, or similar languages for architectural assessment and optimization.
• Apply a strong understanding of the software development lifecycle (SDLC) and application stacks to align data architecture with enterprise systems and solutions.

Qualifications :

Key Competencies :

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