Job
Description
Your day at NTT DATA We are seeking an experienced Data Architect to join our team in designing and delivering innovative data solutions to clients. The successful candidate will be responsible for architecting, developing, and implementing data management solutions and data architectures for various industries. This role requires strong technical expertise, excellent problem-solving skills, and the ability to work effectively with clients and internal teams to design and deploy scalable, secure, and efficient data solutions. What you'll be doing We are seeking an experienced Data Architect to join our team in designing and delivering innovative data solutions to clients. The successful candidate will be responsible for architecting, developing, and implementing data management solutions and data architectures for various industries. This role requires strong technical expertise, excellent problem-solving skills, and the ability to work effectively with clients and internal teams to design and deploy scalable, secure, and efficient data solutions. Experience and Leadership: Proven experience in data architecture, with a recent role as a Lead Data Solutions Architect, or a similar senior position in the field. Proven experience in leading architectural design and strategy for complex data solutions and then overseeing their delivery. Experience in consulting roles, delivering custom data architecture solutions across various industries. Architectural Expertise: Strong expertise in designing and overseeing delivery of data streaming and event-driven architectures, with a focus on Kafka and Confluent platforms. In-depth knowledge in architecting and implementing data lakes and lakehouse platforms, including experience with Databricks and Unity Catalog. Proficiency in conceptualising and applying Data Mesh and Data Fabric architectural patterns. Experience in developing data product strategies, with a strong inclination towards a product-led approach in data solution architecture. Extensive familiarity with cloud data architecture on platforms such as AWS, Azure, GCP, and Snowflake. Understanding of cloud platform infrastructure and its impact on data architecture. Data Technology Skills: A solid understanding of big data technologies such as Apache Spark, and knowledge of Hadoop ecosystems. Knowledge of programming languages such as Python or R is beneficial. Exposure to ETL/ ELT processes, SQL, NoSQL databases is a nice-to-have, providing a well-rounded background. Experience with data visualization tools and DevOps principles/tools is advantageous. Familiarity with machine learning and AI concepts, particularly in how they integrate into data architectures. Design and Lifecycle Management: Proven background in designing modern, scalable, and robust data architectures. Comprehensive grasp of the data architecture lifecycle, from concept to deployment and consumption. Data Management and Governance: Strong knowledge of data management principles and best practices, including data governance frameworks. Experience with data security and compliance regulations (GDPR, CCPA, HIPAA, etc.) Leadership and Communication: Exceptional leadership skills to manage and guide a team of architects and technical experts. Excellent communication and interpersonal skills, with a proven ability to influence architectural decisions with clients and guide best practices Project and Stakeholder Management: Experience with agile methodologies (e.g. SAFe, Scrum, Kanban) in the context of architectural projects. Ability to manage project budgets, timelines, and resources, maintaining focus on architectural deliverables. Location: Delhi or Bangalore Workplace type : Hybrid Working
