{"id":3363299,"url":"https://alion.io/job/ntt-data-data-architect-sr-advisor-12","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":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Phenom","truth_index":{"grade":"A","score":95,"open_postings":103,"ghost_share":0,"stale_share":0.388,"repost_share":0.019,"time_to_fill_p50_days":17,"computed_at":"2026-10-29T05:49:05Z"}},"role":"Data Science","role_family":"Data Science","seniority":"staff","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":27000,"max_usd":50000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":17},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Apache Kafka","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Informatica","optional":false},{"name":"Master Data Management","optional":false},{"name":"MuleSoft","optional":false},{"name":"Rest API","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Talend","optional":false},{"name":"Agile","optional":true},{"name":"Apex","optional":true}],"status":"closed","first_seen_at":"2026-09-29T00:00:00Z","employer_posted_date":"2026-09-29","last_verified_at":"2026-10-29T05:25:12Z","board_verified":false,"closed_at":"2026-10-29T05:25:12Z","days_open":30,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":30},"description":"India T&M Special Bonus:\nReq ID: 376321\nNTT 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.\nWe are currently seeking a Data Architect Sr. Advisor to join our team in Hyderabad, Telangana (IN-TG), India (IN).\nExperience\nOverall Experience: 10+ years in Data Management, Data Integration, and Enterprise Data Architecture\nReltio Experience: 4+ years of hands-on implementation experience in Reltio MDM\n Location: Flexible / Hybrid (based on business needs)\nRole Summary\nWe are looking for an experienced Reltio MDM Architect to join our Data Practice - Master Data Management (MDM) Center of Excellence (COE). The individual will play a strategic and technical leadership role in building our Reltio practice while supporting pre-sales, solution architecture, delivery excellence, innovation, and competency development.\nThis role requires a combination of strong customer-facing consulting skills, deep Reltio product expertise, enterprise data architecture knowledge, and the ability to build reusable assets and best practices that accelerate client engagements.\nKey Responsibilities\nPre-Sales & Solutioning\nEngage with customers to understand business and technical requirements.\nDesign end-to-end Reltio MDM solutions aligned with enterprise architecture.\nPrepare solution approaches, architecture diagrams, implementation roadmaps, and effort estimations.\nParticipate in RFP/RFI responses, proposal creation, and technical presentations.\nConduct customer workshops and discovery sessions.\nSupport business development teams in identifying opportunities and defining winning solutions.\nProof of Concepts (POCs) & Innovation\nLead the design and implementation of Reltio proof-of-concepts.\nDemonstrate business value through rapid prototyping and solution validation.\nEvaluate new Reltio capabilities and complementary technologies.\nRecommend best-fit architecture for customer use cases.\nDelivery Support\nProvide architecture governance across implementation projects.\nGuide project teams on Reltio best practices and implementation standards.\nSupport complex technical issues, design reviews, and performance optimization.\nEnsure scalable, secure, and high-quality solution delivery.\nMentor delivery teams during implementation and production support phases.\nCompetency & COE Development\nEstablish and strengthen the Reltio MDM competency within the Data Practice.\nDefine architecture standards, implementation guidelines, and reusable design patterns.\nMentor architects, consultants, and developers.\nConduct internal technical training sessions and knowledge-sharing workshops.\nCreate learning paths and certification plans for Reltio consultants.\nAccelerators & Framework Development\nBuild reusable accelerators, frameworks, templates, and utilities for faster project delivery.\nDevelop reference architectures, implementation playbooks, and best practices.\nCreate reusable data quality, data governance, matching, survivorship, and integration assets.\nContinuously improve delivery methodologies and automation capabilities.\nRequired Technical Skills\nMaster Data Management\nMinimum 4 years of hands-on experience implementing Reltio MDM.\nStrong understanding of:\nCustomer 360\nProduct MDM\nSupplier MDM\nReference Data Management\nHierarchy Management\nMatch & Merge\nSurvivorship Rules\nIdentity Resolution\nData Stewardship\nData Quality concepts\nReltio Platform Expertise\nReltio Data Model configuration\nEntity, Relationship, Crosswalk, and Attribute modeling\nMatch and Merge configuration\nSurvivorship configuration\nReltio Integration Hub (RIH)\nReltio APIs (REST)\nEvent Streaming\nWorkflow configuration\nData Import/Export\nSecurity and Role Management\nReltio Console administration\nData Integration\nExperience integrating Reltio with enterprise ecosystems using:\nInformatica\nBoomi\nMuleSoft\nTalend\nAzure Data Factory\nApache Kafka\nREST APIs\nETL/ELT platforms\nData & Cloud Technologies\nSQL\nJSON/XML\nData Modeling\nData Warehousing\nData Governance\nCloud Platforms (AWS, Azure, or GCP)\nSnowflake, Databricks, or similar cloud data platforms\nPreferred Skills\nExperience with data governance and data quality platforms.\nKnowledge of enterprise architecture frameworks.\nExperience in data migration and modernization programs.\nUnderstanding of AI/ML-enabled data management capabilities.\nExperience working in global consulting or IT services organizations.\nFamiliarity with Agile delivery methodologies.\nLeadership Expectations\nServe as the technical leader for Reltio engagements.\nCollaborate with business stakeholders, sales teams, delivery teams, and customer architects.\nInfluence technology direction and implementation strategy.\nDrive innovation and continuous improvement within the MDM COE.\nContribute to practice growth through thought leadership and reusable intellectual property.\nQualifications\nBachelor's or Master's degree in Computer Science, Information Technology, Engineering, or related discipline.\nReltio certifications are highly preferred.\nRelevant certifications in cloud platforms or data management technologies are an added advantage.\nDesired Competencies\nExcellent communication and stakeholder management skills.\nStrong consulting and problem-solving abilities.\nAbility to lead architecture discussions with senior customer stakeholders.\nStrong presentation and documentation skills.\nExperience working with distributed global teams.\nSelf-driven with a passion for innovation and knowledge sharing.\nSuccess Measures\nSuccessful contribution to pre-sales pursuits and proposal wins.\nDelivery of scalable, high-quality Reltio implementations.\nDevelopment of reusable accelerators and solution assets.\nGrowth of the organization's Reltio competency through mentoring and training.\nImproved delivery efficiency through COE standards and best practices.\nHigh customer satisfaction and successful project outcomes.\nAbout NTT DATA\nNTT DATA is a $30 billion business and technology services leader, serving 75% of the Fortune Global 100. We are committed to accelerating client success and positively impacting society through responsible innovation. We are one of the world's leading AI and digital infrastructure providers, with unmatched capabilities in enterprise-scale AI, cloud, security, connectivity, data centers and application services. our consulting and Industry solutions help organizations and society move confidently and sustainably into the digital future. As a Global Top Employer, we have experts in more than 50 countries. We also offer clients access to a robust ecosystem of innovation centers as well as established and start-up partners. NTT DATA is a part of NTT Group, which invests over $3 billion each year in R&D.\nWhenever possible, we hire locally to NTT DATA offices or client sites. This ensures we can provide timely and effective support tailored to each client’s needs. While many positions offer remote or hybrid work options, these arrangements are subject to change based on client requirements. For employees near an NTT DATA office or client site, in-office attendance may be required for meetings or events, depending on business needs. At NTT DATA, we are committed to staying flexible and meeting the evolving needs of both our clients and employees. NTT DATA recruiters will never ask for payment or banking information and will only use @nttdata.com, @nttdatafed.com and @talent.nttdataservices.com email addresses. If you are requested to provide payment or disclose banking information, please submit a contact us form, https://us.nttdata.com/en/contact-us.\nNTT 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. 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