We are seeking a highly experienced and visionary Data Solutions Architect (Modern Big Data) to join our Data & AI practice. The successful candidate will bring extensive expertise in architecting and delivering modern big data platforms that are scalable, reliable, and business-aligned. This role is pivotal in enabling clients to harness the power of streaming data, data lakes, lakehouses, and advanced analytics platforms, while guiding them on their data modernisation journeys. As a trusted advisor, you will collaborate with executives, stakeholders, and technical teams to define modern big data strategies, design cloud-native architectures, and implement industry-leading best practices. You will thrive in a fast-paced, evolving technology environment, continuously expanding your knowledge to ensure NTT DATA and our clients remain leaders in data-driven innovation. What youll be doing: Primary Responsibilities: • Client Engagement & Delivery • Solution Design & Implementation • Modernisation & Transformation • Thought Leadership & Knowledge Sharing • Collaboration & Leadership Business Relationships: • Client Partners • Practice Leaders and Members • Peer-level relationships within client organisations up to Head of Data Engineering, Chief Data Architect, CIO, and CDO level What experience youll bring: Must-Have Competencies: • 8 years data architecture experience - Enterprise-scale solutions across multiple sectors with proven delivery track record • Technical leadership at scale - Leading 15 person cross-functional teams and serving as technical escalation point for C-level stakeholders • Full data lifecycle mastery - End-to-end expertise from ingestion to consumption, including governance, security, and both batch/real-time processing • Business-technology translation - Ability to align data strategy with business objectives and communicate across all stakeholder levels • Databricks platform expertise - Deep hands-on experience with Databricks Lakehouse architecture, Delta Lake, Unity Catalog, and multi-cloud implementations Must be eligible for SC clearance Nice to Have: • Cloud-native architecture expertise - Hands-on experience with AWS/Azure/GCP, data lakes, real-time streaming, and infrastructure-as-code • Presales & business development experience - Track record supporting opportunity qualification, bid reviews, proposal development, and client-facing sales activities • Data governance & compliance - Strong background in security frameworks, regulatory compliance (GDPR), data lineage, and quality management • AI/ML integration capabilities - Experience with MLOps, analytics platforms, and integrating AI/ML into data architectures • Agile delivery & thought leadership - Proven agile/hybrid delivery experience with contribution to practice growth through proposition development and knowledge sharing Experience, Qualifications: • Experience: Minimum 8–12 years in data architecture, engineering, or consulting, with at least 4 years in modern big data solution architecture. • Education: University degree required. • Preferred: BSc/MSc in Computer Science, Data Engineering, or related field. • Relevant certifications in Databricks, Kafka, or cloud platforms highly desirable. Who we are: We’re a business with a global reach that empowers local teams, and we undertake hugely exciting work that is genuinely changing the world. Our advanced portfolio of consulting, applications, business process, cloud, and infrastructure services will allow you to achieve great things by working with brilliant colleagues, and clients, on exciting projects. Our inclusive work environment prioritises mutual respect, accountability, and continuous learning for all our people. This approach fosters collaboration, well-being, growth, and agility, leading to a more diverse, innovative, and competitive organisation. We are also proud to share that we have a range of Inclusion Networks such as: the Women’s Business Network, Cultural and Ethnicity Network, LGBTQ & Allies Network, Neurodiversity Network and the Parent Network.