{"id":1514901,"url":"https://alion.io/job/nagarro-associate-distinguished-engineer-cloud-architecture-cloud-infrastructure-aws-data-modeling-master-data-management-snowflake-etl","title":"Associate Distinguished Engineer (Cloud Architecture, Cloud Infrastructure - AWS, Data Modeling, Master data management, Snowflake, ETL)","company":{"id":2457,"name":"Nagarro","domain":"nagarro.com","url":"https://alion.io/company/nagarro","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":{"grade":"A","score":89,"open_postings":44,"ghost_share":0,"stale_share":0.432,"repost_share":0,"time_to_fill_p50_days":23,"computed_at":"2026-10-22T06:10:10Z"}},"role":"DevOps","role_family":"DevOps","seniority":"junior","employment_type":"full_time","work_mode":"on_site","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":null,"experience_years_min":15,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Collibra","optional":false},{"name":"Data Vault","optional":false},{"name":"dbt","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"Great Expectations","optional":false},{"name":"Informatica","optional":false},{"name":"Machine Learning","optional":false},{"name":"Master Data Management","optional":false},{"name":"Snowflake","optional":false}],"status":"live","first_seen_at":"2026-09-29T07:23:18Z","employer_posted_date":"2026-09-29","last_verified_at":"2026-10-22T16:09:49Z","board_verified":true,"closed_at":null,"days_open":23,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":23},"description":"We're Nagarro .\nWe are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at a scale - across all devices and digital mediums, and our people exist everywhere in the world (18000+ experts across 36 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That is where you come in!\n Requirements\n15+ years of experience in Data Engineering, Data Architecture, or Enterprise Data Leadership roles.\nProven experience building and delivering enterprise-scale data platforms across large, complex, multi-business-unit organizations.\nStrong expertise in Snowflake, including architecture, performance optimization, cost management, governance, and data sharing.\nStrong hands-on experience in Data Modeling, including dimensional modeling and data vault methodologies.\nStrong understanding of ETL concepts, data integration, data transformation, and data pipeline design.\nExpert-level experience with Cloud Architecture and designing scalable, secure, and high-performing data ecosystems.\nExpert-level hands-on experience with AWS Cloud Infrastructure and cloud-native data services.\nDemonstrated experience delivering at least two enterprise Master Data Management (MDM) programs with direct accountability for match, merge, survivorship, and data stewardship decisions.\nExperience implementing and governing enterprise data platforms using modern data management and governance frameworks.\nStrong experience with semantic layers, business ontologies, and shared enterprise data models across multiple business domains.\nHands-on experience with enterprise MDM platforms such as Reltio, Informatica MDM, Stibo, Tamr, or similar.\nExperience with data governance and cataloging solutions such as Collibra, including catalog, lineage, policy management, workflow, and user adoption.\nExperience implementing data quality frameworks and controls using tools such as Soda, Great Expectations, or similar platforms.\nStrong knowledge of cloud-based data ecosystems across AWS and Google Cloud environments.\nExperience with dbt, orchestration frameworks, streaming architectures, batch processing, and modern data engineering practices.\nStrong stakeholder management skills with the ability to engage executive leadership and influence strategic data decisions.\nProven experience defining and advocating foundational data initiatives while balancing business priorities and delivery timelines.\nStrong consulting, client-facing, communication, and leadership capabilities.\nExperience working in organizations with complex and diverse source systems resulting from acquisitions, mergers, or legacy technology landscapes.\nAbility to translate complex data concepts into business outcomes for executive and non-technical stakeholders.\nResponsibilities\nLead the design, architecture, and delivery of enterprise-scale data platforms that support strategic business objectives.\nAct as a trusted advisor to senior client stakeholders and data leadership teams on data strategy, architecture, governance, and modernization initiatives.\nDrive enterprise data architecture decisions and establish scalable frameworks, standards, and best practices.\nDefine and implement enterprise-wide Master Data Management strategies, including data quality, match and merge processes, survivorship rules, and governance models.\nDesign and establish semantic layers, business ontologies, and unified enterprise data models that enable consistent business definitions across functions.\nArchitect, optimize, and govern Snowflake-based data platforms to maximize scalability, performance, security, and cost efficiency.\nLead data modeling initiatives and ensure implementation of robust logical, conceptual, and physical data models.\nDesign and implement modern cloud data architectures leveraging AWS technologies and cloud-native services.\nOversee the development of scalable ETL and ELT frameworks, data pipelines, and integration solutions.\nEstablish enterprise data governance, metadata management, lineage, cataloging, and compliance processes.\nImplement and enforce data quality controls, monitoring frameworks, and validation processes throughout the data lifecycle.\nCollaborate closely with engineering and delivery teams to ensure architectural standards are effectively translated into implementation.\nEvaluate and modernize legacy data platforms, warehouses, reporting ecosystems, and redundant data management solutions.\nFacilitate alignment between business stakeholders to resolve complex data ownership, entity definition, and governance challenges.\nDrive adoption of reusable data products, accelerators, and shared platform capabilities across the organization.\nEnable data foundations that support analytics, AI, machine learning, and emerging intelligent applications.\nMentor architects, engineers, and data leaders while fostering a culture of data excellence and innovation.\nProvide technical leadership throughout the entire project lifecycle, from strategy and architecture through implementation and operationalization.\nSupport proposal discussions, solution planning, technology evaluations, and strategic transformation initiatives. \nEnsure enterprise data solutions are scalable, secure, governed, and aligned with long-term business goals.\n Bachelor’s or master’s degree in computer science, Information Technology, or a related field.","description_format":"text","description_chars":5485,"description_truncated":false,"requirements":{"experience_years_min":15,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[{"language":"English","level":"All levels","optional":false}]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["IT Consulting & Digital Transformation","IT Outsourcing & Dedicated Teams","Custom Software Development","Cloud Consulting & Migration"],"lifecycle":[{"event":"open","at":"2026-09-30T09:14:31Z"}],"visa":[],"liveness":{"score":51,"band":"ok","label":"Likely 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