Director - Enterprise Data Architect

Ookla; Dallas (TX); Hybrid; USD 140,000 - 220,000; Full time

Job summary

Ookla is seeking an Enterprise Data Architect to define and maintain the company’s data architecture, models, and design patterns, enabling trusted data and scalable analytics across the organization. You will translate priorities into scalable designs and guide modernization efforts across product, engineering, analytics, governance, and platform teams.

The role requires 10+ years in data architecture and related disciplines, strong communication, and hands-on leadership to mentor engineers and

Qualifications

• Deep expertise in enterprise data architecture, data modeling, data engineering, cloud platforms.
• Strong understanding of canonical modeling, reference data structures, metadata, lineage, APIs, integration patterns.
• Experience defining data architecture standards, reference architectures, and design guidelines in complex, data-heavy organizations.
• Proven ability to modernize data landscapes, simplify platforms, improve interoperability, and reduce technical debt.
• Familiarity with data governance, data quality, privacy, security, data lifecycle management, and enterprise architecture practices.
• Strong communication and stakeholder management skills, with the ability to influence both technical and business audiences.
• Strategic and pragmatic mindset with the ability to balance architectural rigor, delivery speed, operational reliability, and business value.

Responsibilities

• Define and maintain enterprise data architecture principles, standards, reference architectures, and design patterns.
• Develop and steward enterprise data models, canonical definitions, schema standards, and reference data structures.
• Translate business, product, analytics, and engineering needs into scalable data designs and integration patterns.
• Support architecture reviews, solution design, and integration decisions to ensure interoperability, reliability, security, and performance.
• Modernize the data landscape by simplifying data structures, reducing technical debt, and retiring obsolete data patterns where appropriate.
• Guide technology choices related to data storage, processing, integration, APIs, metadata, and data services.
• Ensure data architecture aligns with governance, data quality, privacy, security, lifecycle management, and enterprise standards.
• Provide hands‑on architectural leadership, documentation, and mentorship to data engineers, modelers, analysts, and technical stakeholders.

Skills

Enterprise data architecture

Data modeling

Data engineering

Cloud platforms

Canonical modeling

Metadata

APIs

Data governance

Security

Stakeholder management

Strategic mindset

Communication

Education

Bachelor’s degree in Computer Science, Engineering, Information Systems, Data Management

Advanced degree preferred

Cloud/enterprise architecture certifications preferred

Job description

The Opportunity

The Enterprise Data Architect is a director level role within Ookla’s Chief Data & Analytics Office responsible for defining and maintaining the enterprise data architecture, standards, models, and design patterns that form the foundation for trusted data, analytics, AI, and data products across Ookla. This role reports directly to the VP of Data Architecture.

This role will translate business and technology priorities into scalable data designs, maintain enterprise data models and reference structures, support architecture reviews and integration needs, and guide modernization of the data landscape. Working across product, engineering, analytics, governance, and platform teams, the Enterprise Data Architect will help ensure Ookla’s data ecosystem is consistent, interoperable, secure, and positioned for long‑term growth.

This position operates in a hybrid work environment and includes approximately 25% travel to support stakeholder engagement, architecture planning, technology alignment, and team collaboration.

Key Responsibilities

• Define and maintain Ookla’s enterprise data architecture principles, standards, reference architectures, and design patterns.
• Develop and steward enterprise data models, canonical definitions, schema standards, and reference data structures.
• Translate business, product, analytics, and engineering needs into scalable data designs and integration patterns.
• Support architecture reviews, solution design, and integration decisions to ensure interoperability, reliability, security, and performance.
• Modernize the data landscape by simplifying data structures, reducing technical debt, and retiring obsolete data patterns where appropriate.
• Guide technology choices related to data storage, processing, integration, APIs, metadata, and data services.
• Ensure data architecture aligns with governance, data quality, privacy, security, lifecycle management, and enterprise standards.
• Provide hands‑on architectural leadership, documentation, and mentorship to data engineers, modelers, analysts, and technical stakeholders.

Job Qualifications

Required Knowledge, Skills and Attributes

• Deep expertise in enterprise data architecture, data modeling, data engineering, cloud platforms, and modern data ecosystems.
• Strong understanding of canonical modeling, reference data structures, metadata, lineage, APIs, integration patterns, and batch and streaming architectures.
• Experience defining data architecture standards, reference architectures, and design guidelines in complex, data-intensive organizations.
• Proven ability to modernize data landscapes, simplify platforms, improve interoperability, and reduce technical debt.
• Familiarity with data governance, data quality, privacy, security, data lifecycle management, and enterprise architecture practices.
• Strong communication and stakeholder management skills, with the ability to influence both technical and business audiences.
• Strategic and pragmatic mindset with the ability to balance architectural rigor, delivery speed, operational reliability, and business value.

Required Education and/or Experience

• Bachelor’s degree in Computer Science, Engineering, Information Systems, Data Management, or a related field.
• Advanced degree preferred.
• 10+ years of experience in data architecture, data modeling, data engineering, enterprise architecture, or related technology disciplines.
• Experience designing and governing enterprise‑scale data models, integration patterns, and cloud‑based data platforms.
• Experience partnering with engineering, platform, analytics, governance, and product teams to deliver data architecture outcomes.
• Relevant certifications in cloud platforms, enterprise architecture, data modeling, data engineering, or data management are preferred.

About

Ookla, an Accenture company, is a global leader in connectivity intelligence that brings together the trusted expertise of Speedtest®, Downdetector®, Ekahau®, and RootMetrics® to deliver unmatched network and connectivity insights. By combining multi-source data with industry-leading expertise, we transform network performance metrics into strategic, actionable insights.

Our solutions empower service providers, enterprises, and governments with the critical data and insights needed to optimize networks, enhance digital experiences, and help close the digital divide. At the same time, we amplify the real‑world experiences of individuals and businesses that rely on connectivity to work, learn, and communicate. From measuring and analyzing connectivity to driving industry innovation, Ookla helps the world stay connected.

About Accenture

Accenture helps the world’s leading enterprises reinvent by building their digital core and unleashing the power of AI to create value at speed for organizations across industries. Our strategy is to be the reinvention partner of choice for our clients and lead in the safe, widespread adoption of AI, and to be the most client focused, AI‑enabled, great place to work in the world. We bring together the talent of our approximately 799,000 people with proprietary assets and platforms, deep process and industry expertise, and leading ecosystem relationships to deliver end‑to‑end solutions and measurable outcomes at scale. Through our Reinvention Services, we offer broad expertise across Cybersecurity, Digital Core, Finance, Industry and Enterprise, Song, Supply Chain and Engineering, and Talent, with advanced capabilities in AI and Data, Industry and Process, and Technology. We serve approximately 9,000 clients and generated approximately $70 billion in FY25 revenue. Visit us at accenture.com.

Compensation Range

Ookla provides a range for the base pay. Factors that may be used to determine your actual pay may include your specific job related knowledge, skills, experience, and geographic location. The salary compensation for this role is $140,000 - $220,000. Individual pay within the compensation range for this business unit specific role is determined based on a variety of factors including experience, scope of the role, capabilities to perform the role, education and training, as well as business and company performance.