**Make an impact with NTT DATA** Join a company that is pushing the boundaries of what is possible. We are renowned for our technical excellence and leading innovations, and for making a difference to our clients and society. Our workplace embraces diversity and inclusion – it’s a place where you can grow, belong and thrive. **Your day at NTT DATA** The Data & AI Senior Architecture Consultant is an advanced level expert who proactively supports the delivery of multi-technology consulting services to clients by analysing and providing more strategies and solutions on all aspects related technology components. This role works on the development of the architectural approach for one or more layer of a complex solution and reviews the developed components to ensure that it aligns to roadmaps and adherence to architecture principles. This role deals with clients who have complex information technology environments. **What you'll be doing** **Key Responsibilities:** + **Strategic Leadership:** Shapes technological strategies and development process. + **Technology Oversight:** Supervises current technologies and defines relevant policies. + **Technical Decision-Making:** Makes technology-related decisions aligned with business objectives. + **Technical** **Leadership:** Support Software Development Team for the definition ofguidelines for the development process. + **Hiring and Training:** Involved in hiring, training, onboarding. + **Customer relationship** **:** Builds and strengthens business relationships with partners and represents the company at conferences and events. + **Data and AI Strategy** : Creates and implements strategies to optimize data systems and technologies, evaluates processes and technologies to make meaningful outcome of data. + **G** **o-To-** **M** **arket** **strategy** : Participates in strategic planning and goal setting for the Go-To-Market (GTM) strategy. + **Consulting** : Acts as a consultingpartner for our clients as part of the Data & AI GTM Stream. **Knowledge and Attributes:** + **IT Industry and** **Technology:** Extensiveunderstanding of IT industry environment and business needs, extensive understanding ofcurrent technologies (see list below)and technology trends and the ability to define relevant policies. + **Enterprise** **Architecture:** Knowledge and practical experience with at least one Enterprise Architecture Framework like TOGAF, Zachman, Gartner Enterprise Architecture Framework etc. + **Project Management:** Knowledge of modern PM methodologies like Agile methodologies – Scrum, Kanban, Hybrid methodologies - Agile-Waterfall Hybrid, Scaled Agile Framework (SAFe), etc. + **Consulting** **Practices** : Knowledge of consulting practices like for example Data Strategy Development, AI Readiness Assessment, Data Architecture Design, AI Solution Development, Data Analytics Consulting, Tool and Platform Assessment, etc. + Technical skills: + **Data Engineering:** + **_ETL Processes:_** _Experience with Extract, Transform, Load (ETL) processes and_ _supporting tools_ _, for example_ _Apache_ _NiFi_ _, Talend, or Informatica._ + **_Data Warehousing:_** _Knowledge of data warehousing solutions like Amazon Redshift, Google_ _BigQuery_ _, or Snowflake._ + **_Data Lakes:_** _Understanding of data lake architectures and technologies such as Apache Hadoop and Apache Spark._ + **_Data Spaces:_** _Understanding of data spaces concept and_ _familiarity with data spaces design principles_ _and corresponding open source components_ _._ + **Machine Learning and AI:** + **_Frameworks:_** _Knowledge of_ _machine learning frameworks such as TensorFlow,_ _PyTorch_ _, and Scikit-Learn._ + **_Model Deployment:_** _Experience with deploying machine learning models using platforms like TensorFlow Serving,_ _MLflow_ _, or Kubernetes._ + **_AI Services:_** _Familiarity with AI services provided by cloud platforms, such as AWS SageMaker, Azure Machine Learning, and Google AI Platform._ + **Cloud Platforms:** + **_AWS:_** _Knowledge of AWS services including EC2, S3, Lambda, RDS, and SageMaker._ + **_Azure:_** _Knowledge of_ _Azure services such as Azure Data Factory, Azure Machine Learning, and Azure Synapse Analytics._ + **_Google Cloud:_** _Familiarity with Google Cloud services like_ _BigQuery_ _, AI Platform, and Dataflow._ + **Big Data Technologies:** + **_Hadoop Ecosystem:_** _Understanding of Hadoop ecosystem components such as HDFS, MapReduce, Hive, and Pig._ + **_Real-Time Data Processing:_** _Experience with real-time data processing frameworks like Apache Kafka, Apache Flink, or Apache Storm._ + **_NoSQL Databases:_** _Knowledge of NoSQL databases such as MongoDB, Cassandra, and HBase._ + **Data Governance and Security:** + **_Data Privacy:_** _Understanding of data privacy regulations such as GDPR and CCPA._ + **_Data Security:_** _Experience with data security practices, including encryption, access control, and secure data sharing._ + **_Data Quality:_** _Knowledge of data quality management practices and tools._ + **DevOps and CI/CD:** + **_Continuous_** **_Integration/Continuous_** **_Deployment:_** _Experience with CI/CD tools such as Jenkins, GitLab CI, or_ _CircleCI_ _._ + **_Infrastructure as Code:_** _Familiarity with infrastructure as code tools like Terraform, Ansible, or CloudFormation._ + **_Containerization:_** _Experience with_ _containerization technologies such as Docker and Kubernetes._ + **Software development** **:** + **_Technical Evaluation:_** _Expertise_ _in selecting_ _appropriate development_ _stacks and reviewing software architecture._ + **_Programming languages:_** _K_ _nowledge_ _of any_ _programming languages like Java, Python,_ _JavaSc_ _ript etc._ + **_Programming frameworks:_** _Experience with frameworks like Spring Boot for developing microservices and enterprise applications_ _, f_ _amiliarity with frameworks such as Django or Flask for web development_ _and_ _frameworks and_ _libraries like React, Angular, or Vue.js for building interactive user interfaces._ + **_Software Architecture Design:_** _Experience in designing and implementing microservices-based architectures. Understanding of service decomposition, inter-service communication, and API gateways._ + **_Development_** **_T_** **_ools and_** **_P_** **_ra_** **_ctices_** _:_ _Knowledge of_ _Development Tools and Practices_ _like Version Control systems_ _(Git), a_ _utomated testing frameworks and tools such as JUnit,_ _pytest_ _, or Selenium._ + Other skills: + Strong problem-solving and analytical skills. + Ability to work in high-pressure situations. + Ability to establish and manage processes and practices through collaboration and the understanding of business. + Ability to contribute information on relevant vertical markets. + Ability to contribute to the improvement of internal effectiveness by contributing to the improvement of current methodologies, processes and tools. **Academic Qualifications and Certifications:** + Master's degree or equivalent in Information Technology or Computer Science. + Relevant consulting and technical certifications preferred, for example TOGAF. + Professional architectural certification is a big plus: + _AWS Certified Solutions Architect - Professional_ + _Microsoft Certified: Azure Solutions Architect Expert_ + _Google Cloud: Cloud Architect Professional_ **Required Experience:** + Advanced experience with a strong background in all aspects of software application development + Advanced comprehensive technical experience in a similar role within a large scale (preferably multi- national) technology services environment. + Advanced multi-technology software design experience. + Advanced expertise coupled with consulting and client engagement experience, demonstratinggood experience in client needs assessment and change management. **Workplace type** **:** **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. We invest over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. 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 also one of the leading providers of digital and AI infrastructure in the world. NTT DATA is part of NTT Group and headquartered in Tokyo. **Equal Opportunity Employer** NTT DATA is proud to be an Equal Opportunity Employer with a global culture that embraces diversity. We are committed to providing an environment free of unfair discrimination and harassment. We do not discriminate based on age, race, colour, gender, sexual orientation, religion, nationality, disability, pregnancy, marital status, veteran status, or any other protected category. Join our growing global team and accelerate your career with us. Apply today.