Enterprise Data Solution Architect at NTT DATA

Plano, Texas, United States -

Full Time

Start Date

Immediate

Expiry Date

07 Apr, 26

Salary

0.0

Posted On

07 Jan, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Architecture, Cloud Solutions, ETL, Data Governance, SQL, Python, PySpark, Orchestration Frameworks, Data Modeling, Analytics, Cloud Migration, Real-Time Pipelines, CI/CD, IaC, GenAI, MLOps

Industry

IT Services and IT Consulting

Description

Req ID: 328848 NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Enterprise Data Solution Architect to join our team in Plano, Texas (US-TX), United States (US). Summary Drive the design and delivery of modern, cloud‑native data platforms that turn raw data into governed, reusable products. Blend deep technical expertise with product‑centric thinking to accelerate business value, reduce TCO, and future‑proof analytics capabilities. Core Responsibilities Architect end‑to‑end data solutions on Azure, AWS, or Google Cloud (ingestion → storage → modeling → consumption). Define data‑product strategy, domain boundaries, and semantic models that enable self‑service analytics. Establish scalable ETL/ELT patterns using tools like Databricks, Snowflake, Synapse, Glue, or BigQuery. Lead modernization roadmaps—migrating legacy warehouses, integrating real‑time pipelines, and automating CI/CD & IaC. Partner with stakeholders to translate business use‑cases into secure, cost‑optimized architectures and reference designs. Minimum Skills Required: 10+ years designing enterprise data platforms and at least 2 major cloud migrations delivered. 7+ years of experience in modern data stacks (lakehouse, medallion/Data Mesh, CDC, event streaming). 7+ years of experience with SQL/Python/PySpark and orchestration frameworks (Airflow, Data Factory, Cloud Composer). 3+ years of experience creating data governance, security, and FinOps guardrails. Preferred Skills: Experience productizing GenAI/RAG or MLOps pipelines. Industry expertise in manufacturing, healthcare, or financial services. Excellent communication—can influence C‑suite and mentor engineers alike. #LI-NorthAmerica About NTT DATA NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com NTT DATA endeavors to make https://us.nttdata.com accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at https://us.nttdata.com/en/contact-us. This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here. If you'd like more information on your EEO rights under the law, please click here. For Pay Transparency information, please click here.

Responsibilities

Architect end-to-end data solutions on cloud platforms and define data-product strategies. Lead modernization roadmaps and partner with stakeholders to translate business use-cases into secure architectures.