Enterprise Data Architect Lead — Modernize & Scale Data

Human Ventures, LLC.; Dallas (TX); Hybrid; USD 140,000 - 220,000; Full time

Job summary

Ookla, a global connectivity intelligence leader, is seeking an Enterprise Data Architect to define and maintain the enterprise data architecture as part of the Chief Data & Analytics Office, reporting to the VP of Data Architecture. This hybrid role requires collaboration across product, engineering, analytics, governance, and platform teams to ensure a secure, scalable data ecosystem.

The position emphasizes modernization, data governance, and data quality while guiding engineers and analysts.

Qualifications

• Deep expertise in enterprise data architecture, data modeling, cloud platforms, and modern data ecosystems.
• Strong understanding of metadata, data lineage, APIs, integration patterns, and batch/streaming architectures.
• Experience defining standards and design guidelines in complex, data‑intensive organizations.

Responsibilities

• Define and maintain enterprise data architecture principles, standards, reference architectures, and design patterns.
• Develop and steward enterprise data models, canonical definitions, schemas, and reference data structures.
• Translate business and engineering needs into scalable data designs and integration patterns.

Skills

Enterprise data architecture

Data modeling

Cloud platforms

Data governance

Stakeholder management

Communication

Strategic thinking

Education

Bachelor’s degree in Computer Science / Engineering / Information Systems

Advanced degree preferred

10+ years in data/enterprise architecture

Job description

Ookla, a global connectivity intelligence leader, is seeking an Enterprise Data Architect to define and maintain the enterprise data architecture as part of the Chief Data & Analytics Office, reporting to the VP of Data Architecture. This hybrid role requires collaboration across product, engineering, analytics, governance, and platform teams to ensure a secure, scalable data ecosystem.

The position emphasizes modernization, data governance, and data quality while guiding engineers and analysts.