{"id":4246979,"url":"https://alion.io/job/ntt-data-data-architect-sr-advisor-13","title":"Data Architect Sr. Advisor","company":{"id":50348,"name":"NTT DATA","domain":"nttdata.com","url":"https://alion.io/company/ntt-data","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Phenom","truth_index":{"grade":"A","score":92,"open_postings":108,"ghost_share":0.009,"stale_share":0.491,"repost_share":0.028,"time_to_fill_p50_days":19,"computed_at":"2026-11-12T10:38:37Z"}},"role":"Data Science","role_family":"Data Science","seniority":"staff","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Noida, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":18,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Azure","optional":false},{"name":"Databricks","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"RAG","optional":false},{"name":"Snowflake","optional":false}],"status":"live","first_seen_at":"2026-11-12T18:30:00Z","employer_posted_date":"2026-11-12","last_verified_at":"2026-11-13T12:58:43Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Principal Solution Architect\nMinimum Experience : 15+ Years\n1. Role Overview\nWe are seeking an experienced Principal Solution Architect - Data & AI to strengthen our APAC consulting and solution architecture capabilities and drive business growth across the region.\nThe role will lead strategic customer engagements, pre-sales and solution consulting, shape large Data & AI transformation opportunities, and provide enterprise architecture leadership for strategic customer programmes. The individual will work closely with APAC Sales, Account Leaders, Delivery Teams, Global Practice Leadership and technology partners to identify opportunities, develop differentiated solutions, lead customer discussions and support successful deal conversion.\nThe successful candidate will combine enterprise data architecture expertise with technology consulting, commercial solutioning, pre-sales leadership and strong customer-facing skills. This is a business-oriented architecture leadership role, balancing revenue generation through pre-sales and consulting with revenue realization through billable architecture engagements.\n2. Key Responsibilities\nA. Pre-Sales, Solution Consulting & Business Development\nPartner with APAC Sales and Account Leaders to identify, qualify and shape Data & AI opportunities.\nLead solution architecture and consulting for strategic pursuits, large deals and transformation programmes.\nConduct customer discovery workshops, executive presentations and architecture discussions.\nTranslate business requirements into scalable, differentiated and commercially viable solutions.\nLead technical solution development, RFP/RFI/RFQ responses, effort estimation and solution presentations.\nSupport deal shaping, commercial modelling, pricing discussions and solution defence sessions.\nBuild relationships with senior customer stakeholders, including CIOs, CTOs, CDOs and Enterprise Architects.\nProactively contribute to pipeline development and conversion of strategic opportunities.\nB. Enterprise Architecture & Delivery Leadership\nLead enterprise and solution architecture for complex Data & AI transformation programmes.\nDefine target-state architectures, technology strategies, migration roadmaps and implementation approaches.\nProvide architecture governance, design reviews and technical assurance across strategic engagements.\nTake on billable Enterprise Architect / Chief Architect responsibilities on selected customer programmes.\nEnsure solutions meet enterprise standards for scalability, security, performance, reliability and cost optimisation.\nGuide delivery teams in resolving complex architectural and technical challenges.\nC. Technology Practice & Centre of Excellence Development\nEstablish and strengthen technology Centres of Excellence across Databricks, Snowflake and Microsoft Fabric.\nDevelop reusable reference architectures, solution frameworks, accelerators and estimation models.\nBuild standardised solution blueprints, proposal assets and delivery methodologies.\nDrive technology partner engagement, joint propositions and go-to-market initiatives.\nSupport capability development, technical certifications and mentoring of solution architects.\nD. Agentic AI & Next-Generation Data Solutions\nDrive customer propositions and architecture solutions around Generative AI, Agentic AI and enterprise AI enablement.\nDevelop solutions across the Enterprise Data Value Chain, covering data engineering, integration, governance, semantic layers, knowledge layers and AI enablement.\nIntegrate modern data platforms with AI/ML, RAG, knowledge graphs and agentic capabilities.\nIdentify emerging technology opportunities and translate them into differentiated customer offerings.\n3. Mandatory Skills & Experience\n18+ years of experience in Data & Analytics, Enterprise Architecture, Technology Consulting or Digital Transformation.\nSignificant experience in customer-facing solution architecture and technology consulting.\nProven experience leading pre-sales, solutioning and architecture for large Data & AI opportunities.\nStrong enterprise data architecture experience, including modern data platforms, data engineering, integration and governance.\nDeep expertise in at least one strategic platform: Databricks / Lakehouse Architecture, Snowflake / Cloud Data Platform, or Microsoft Fabric / Azure Data & Analytics.\nGood working knowledge of other major cloud data platforms and technologies.\nExperience in solution estimation, effort modelling, commercial solutioning and delivery planning.\nExperience leading customer workshops, executive presentations and strategic architecture discussions.\nStrong understanding of cloud architecture, data security, governance, scalability and performance optimisation.\nProven ability to work with Sales, Delivery, Account Management and senior customer stakeholders.\n4. Preferred Skills & Experience\nExperience supporting business development and strategic customer pursuits across APAC markets.\nExposure to Agentic AI, Generative AI, RAG and enterprise AI architecture.\nExperience establishing or leading technology Centres of Excellence.\nRelevant certifications in Databricks, Snowflake, Microsoft Azure or other cloud platforms.\nExperience working with technology partners and developing joint go-to-market propositions.\nExperience in large-scale enterprise data modernisation and cloud transformation programmes.\n5. Leadership & Consulting Competencies\nStrong business acumen and customer-centric consulting mindset.\nExcellent communication, presentation and stakeholder management skills.\nAbility to engage and influence senior business and technology executives.\nStrong commercial orientation and understanding of deal economics.\nAbility to lead complex solutioning exercises and drive consensus across multiple stakeholders.\nStrategic thinking combined with practical architecture and problem-solving capabilities.\nAbility to mentor architects and build technical consulting capabilities.\n6. Expected Contribution Model\nThe role will have a balanced contribution towards business growth, customer delivery and practice development.\n\nContribution Area\nExpected Allocation\nBillable Architecture & Customer Engagements\n50%\nPre-Sales, Solution Consulting & Business Development\n30%\nPractice Development, CoE & Capability Building\n20%\nTotal\n100%\n7. Key Success Measures\nContribution to APAC Data & AI revenue pipeline and strategic deal wins.\nQuality and competitiveness of solutions and proposals.\nImprovement in pre-sales responsiveness and solution turnaround time.\nAchievement of approximately 50% billable utilisation.\nCustomer satisfaction and successful architecture leadership on engagements.\nEstablishment of reusable solution assets and strategic technology CoEs.\nDevelopment of Agentic AI and next-generation Data & AI offerings.\nMentoring and development of architecture talent.\n8. Ideal Candidate Profile\nThe ideal candidate is an established technology consulting and architecture leader with a strong track record of leading customer engagements, winning strategic opportunities and architecting complex enterprise Data & AI solutions.\nThe individual should be able to operate at three levels:\nBusiness: Engage customers, understand business challenges, shape opportunities and support revenue growth.\nArchitecture: Lead enterprise solution architecture, technology strategy and architecture governance.\nPractice: Build capabilities, develop reusable offerings, mentor architects and strengthen technology partnerships.\nRole clarification: This is not a pure technical delivery or hands-on engineering role. 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