Datasite

VP, Global Data Architecture and Engineering

Datasite

full-time

Posted on:

Origin:  • 🇺🇸 United States • New York

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Salary

💰 $167,000 - $300,400 per year

Job Level

Lead

Tech Stack

AirflowCloudKafka

About the role

  • Datasite is seeking a visionary Vice President of Global Data Architecture & Engineering to lead the design, implementation, and adoption of modern data systems that power our suite of SaaS and DaaS products across multiple business units. Define and execute a unified product data architecture vision across all SaaS platforms and BUs. Build high-performance, cloud-native data platforms supporting real-time analytics, machine learning, AI, data licensing, and scalable integrations. Develop and maintain enterprise-wide data models , ontologies, APIs, and pipelines that ensure consistency and reusability. Lead global teams responsible for data ingestion, transformation, cataloging, and storage pipelines . Collaborate with Product and Engineering teams to embed data capabilities into product roadmaps. Enable data-as-a-product thinking , ensuring high data quality, accuracy, observability, and operational reliability. Collaborate closely with the Data Management Office (DMO) to define and implement global data governance policies, standards, and processes. Translate enterprise data governance goals into actionable architectural frameworks and roadmaps. Evolve and enforce policies for data privacy, residency, lineage, and classification , ensuring adherence to global standards (e.g., GDPR, CCPA, HIPAA, SOC 2). Partner with Security and Compliance to implement data access controls, encryption, and audit frameworks . Contribute to the enterprise data strategy and roadmap , aligning AI/ML and licensing initiatives with business outcomes. Evaluate and deploy emerging technologies in data architecture, automation, and self-service tooling. Enhance and scale a global team of architects, engineers, and data product leaders . Champion a modern data culture focused on enablement, collaboration, and operational excellence.

Requirements

  • 15+ years of experience in data architecture, engineering, or related fields within complex, multi-product organizations. Proven success leading data platform and architecture strategy in a SaaS/DaaS or technology-driven business . Strong expertise in modern data stack technologies (e.g., Snowflake, Databricks, Kafka, dbt, Airflow, cloud-native platforms). Deep understanding of data privacy laws, compliance frameworks, and data security principles . Experience navigating matrixed global environments , working across Product, Engineering, and Compliance stakeholders. Exceptional leadership, communication, and executive influencing skills.