Role Description The Senior Network Technical Architect will serve as a key leader within the Global Infrastructure, Cloud, and Security Services Solution Design Team. This role combines responsibilities of the Senior Engineering and Design Manager and the Managed Network Services Technical Architect, acting as a single point of contact for all engineering and design issues. The individual will direct all aspects of engineering and design concerns for the service, with authority over staff and subcontractors. Availability is required 24/7 to manage service restoration and respond to State requests. The architect will also contribute to large-scale sales and pre-sales engagements, practice maturity, and the development of innovative solutions. - Serve as the single point of contact for all engineering and design issues. - Direct all aspects of engineering and design concerns for the service. - Manage and oversee restoration of services and respond to State requests 24/7. - Participate in various contract workgroups. - Support business development by contributing to new opportunities and solutioning efforts. - Act as a subject matter expert in Managed Network Services. - Research and stay current on emerging technologies and products. - Architect workplace services solutions to meet client RFP/RFI requirements. - Ensure client solutions are designed to achieve expected functionality and quality. - Promote capabilities and offerings to internal groups, partners, and clients. - Analyze opportunities and gather inputs for capability development. - Facilitate collaboration among sales, pre-sales, and delivery teams. - Blend technology and business strategy to develop compelling solutions. - Build cost models and support benchmarking efforts. - Establish accurate costing and pricing techniques. - Maintain architecture standards and supporting processes. - Define and validate new features for solution development. - Enable automated sales and solutioning methodologies. - Coach and mentor solution architects and sales teams. Qualifications - Minimum of five (5) years’ experience leading an engineering team responsible for services similar in size and scope to this contract's services. - A Master’s degree or higher in an engineering discipline (or seven (7) years’ relevant work experience as a substitute). - Ten (10) years or more of engineering work experience. - 8+ years of experience in IT Outsourcing and Managed Services delivery, solutioning/pre-sales, sales, product management, or corporate leadership. - In-depth experience creating and managing infrastructure outsourcing solutions and cost models. - Extensive knowledge of network management, monitoring, and design solutions. - Experience performing complex technical analysis of software, hardware, and network systems. - Experience with managed network services and various network tools and hardware vendor products. Preferred Qualifications - ITIL Foundation Certification. - Cisco Certifications (e.g., CCIE, CCNA, CCNP). - Experience with network technologies and vendor products such as Cisco, Juniper, Dell. - Experience creating and managing network infrastructure outsourcing solutions and cost models. - Network technical thought leadership and organizational agility. - Effective communication within a global team. - Experience selling enterprise-class networking solutions. Requirements - Where required by law, NTT DATA provides a reasonable range of compensation for specific roles. The starting pay range for this remote role is $104,558 - $242,031. - This range reflects the minimum and maximum target compensation for the position across all US locations. - Actual compensation will depend on a number of factors, including the candidate’s actual work location, relevant experience, technical skills, and other qualifications. - This position may also be eligible for incentive compensation based on individual and/or company performance. Benefits - Medical, dental, and vision insurance with an employer contribution. - Flexible spending or health savings account. - Life and AD&D insurance. - Short and long term disability coverage. - Paid time off. - Employee assistance program. - Participation in a 401k program with company match. - Additional voluntary or legally-required benefits.

Build and maintain internal developer tools, enhance CI/CD pipelines, and identify engineering workflow pain points to drive improvements, ensuring faster and more reliable development processes for engineering teams.

• Lead the entire lifecycle for core product areas • Design, develop, and maintain critical backend services, automation tools, and Linux data collection software, prioritizing scalability, performance, and reliability • Contribute to the technical roadmap, proactively identifying future challenges and opportunities within Kubernetes security • Focus development efforts across the product on efficient data collection, event processing, storage, and persistence mechanisms • Spearhead the integration of new technologies, programming languages, and frameworks to boost developer productivity and drive product innovation • Uphold high standards for software quality, promoting a "design document-first" methodology and facilitating technical growth through code reviews and mentorship • Address complex customer issues, leveraging deep expertise in Kubernetes, Linux internals, and distributed systems to provide expert support • Collaborate cross-functionally with product managers, designers, and fellow engineers to refine and expand ACS features, maintaining a sharp focus on user experience and operational excellence • Provide technical guidance and foster peer learning through code reviews and design feedback to colleagues • Engage with the open-source community, sharing knowledge and contributing to projects foundational to ACS technologies.

• Design, build, and maintain data pipelines that power AI research and experimentation workflows • Develop backend services and APIs that give researchers clean, reliable access to data at scale • Work directly with researchers and AI builders to understand their data needs and translate them into robust engineering solutions • Improve data infrastructure reliability, observability, and performance • Debug and resolve data quality issues, identifying root causes and sharing learnings broadly • Contribute to internal tooling and paved roads that make it easier for the team to work with data consistently